CN112052667A - Method, device and equipment for realizing medical code mapping - Google Patents
Method, device and equipment for realizing medical code mapping Download PDFInfo
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- 238000013507 mapping Methods 0.000 title claims abstract description 87
- 238000000034 method Methods 0.000 title claims abstract description 48
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- 208000037386 Typhoid Diseases 0.000 description 8
- 201000008297 typhoid fever Diseases 0.000 description 8
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/237—Lexical tools
- G06F40/242—Dictionaries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/12—Use of codes for handling textual entities
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
Abstract
The embodiment of the application discloses a method and a device for realizing medical code mapping, wherein a standard medical code combination and a source medical code combination are obtained, and the source medical code is matched with the standard medical code to obtain a first matching degree of the source medical code and the standard medical code; calculating a second degree of match of the source medical term and the standard medical term; then, carrying out weighted summation on the first matching degree of the source medical code and the standard medical code in the first standard medical code combination and the second matching degree of the source medical term and the standard medical term in the first standard medical code combination to obtain the matching degree of the source medical code combination and the first standard medical code combination; and finally, determining the first standard medical coding combination with the highest matching degree as a second standard medical coding combination, and establishing a mapping relation between the source medical coding combination and the second standard medical coding combination. The mapping relation between the medical codes can be efficiently and accurately established.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method, an apparatus, and a device for implementing medical code mapping.
Background
In order to classify medical terms uniformly, an authority organization or an organization in the medical field may make a uniform standard medical code combination, and the standard medical code combination generally includes a corresponding relationship between a standard medical code and a standard medical term.
In practical use, the standard medical coding combination is used as a basis for adaptive expansion, so that different medical coding combinations are obtained. When medical data is shared, the medical coding combination cannot completely correspond to the standard medical coding combination due to different medical coding combinations, and the medical data is difficult to unify. Therefore, different medical coding combinations need to be mapped with standard medical coding combinations. At present, the method of manually determining the mapping relationship is adopted, on one hand, the accuracy of the determined mapping relationship is insufficient, on the other hand, the efficiency of determining the mapping relationship is low, and the requirement of mapping a large number of medical coding combinations and standard medical coding combinations cannot be met.
Disclosure of Invention
In view of this, embodiments of the present application provide a method, an apparatus, and a device for implementing mapping of medical codes, which can implement efficient and accurate establishment of mapping relationships between medical codes.
In order to solve the above problem, the technical solution provided by the embodiment of the present application is as follows:
a method of implementing medical code mapping, the method comprising:
acquiring standard medical code combinations, wherein each standard medical code combination comprises a standard medical code and a corresponding standard medical term;
acquiring a source medical code combination, wherein the source medical code combination comprises a source medical code and a corresponding source medical term;
matching the source medical code with the standard medical code to obtain a first matching degree of the source medical code and the standard medical code;
calculating a second degree of match of the source medical term with the standard medical term;
weighting and summing a first matching degree of the source medical code and a standard medical code in a first standard medical code combination and a second matching degree of the source medical term and a standard medical term in the first standard medical code combination to obtain a matching degree of the source medical code combination and the first standard medical code combination; the first standard medical coding combination is any one of the standard medical coding combinations;
and determining the first standard medical coding combination with the highest matching degree as a second standard medical coding combination, and establishing a mapping relation between the source medical coding combination and the second standard medical coding combination.
In one possible implementation, the matching the source medical code with the standard medical code to obtain a first matching degree of the source medical code with the standard medical code includes:
when the encoding digits of the source medical encoding and the standard medical encoding are the same, matching the source medical encoding and the standard medical encoding, if a first standard medical encoding which is completely consistent with the source medical encoding exists, setting a first matching degree of the source medical encoding and the first standard medical encoding as a first numerical value, and setting a first matching degree of the source medical encoding and other standard medical encoding as 0;
when the number of the coding bits of the source medical code is a preset number and the last two codes are 00, removing the last two codes of the source medical code to obtain a target code, matching the target code with the standard medical code, if a second standard medical code completely consistent with the target code exists, setting a first matching degree of the source medical code and the second standard medical code as a first numerical value, and setting a first matching degree of the source medical code and other standard medical codes as 0;
when the number of the coding bits of the source medical code is different from that of the standard medical code, or the number of the coding bits of the source medical code is not a preset number, or the number of the coding bits of the source medical code is a preset number and the last two coding bits are not 00, matching the first n bits of the source medical code with the standard medical code, if a third standard medical code completely consistent with the first n bits of the source medical code exists, setting the first matching degree of the source medical code and the third standard medical code as a second numerical value, and setting the first matching degree of the source medical code and other standard medical codes as 0; n is a positive integer, and the second value is less than the first value.
In one possible implementation, the method further includes:
performing word segmentation on each standard medical term to establish a word segmentation dictionary;
the calculating a second degree of match of the source medical term with the standard medical term includes:
segmenting the source medical terms according to the segmentation dictionary;
and performing text similarity calculation according to the segmentation words included by the source medical term and the segmentation words included by the standard medical term to obtain a second matching degree of the source medical term and the standard medical term.
In one possible implementation, the method further includes:
if the matching degree of the source medical coding combination and the second standard medical coding combination is smaller than a preset threshold value, checking the mapping relation of the source medical coding combination and the second standard medical coding combination;
and if the verification is not passed, canceling the mapping relation between the source medical code combination and the second standard medical code combination.
In one possible implementation, the obtaining the source medical code combination includes:
a source medical code combination is obtained from the set of source medical code combinations.
In one possible implementation, the method further includes:
repeatedly executing the steps of obtaining a source medical code combination from the set of source medical code combinations and the following steps;
and acquiring the mapping relation between each source medical coding combination and the standard medical coding combination.
An apparatus that implements medical code mapping, the apparatus comprising:
the device comprises a first acquisition unit, a second acquisition unit and a processing unit, wherein the first acquisition unit is used for acquiring standard medical code combinations, and each standard medical code combination comprises a standard medical code and a corresponding standard medical term;
a second obtaining unit, configured to obtain a source medical coding combination, where the source medical coding combination includes a source medical code and a corresponding source medical term;
the first matching unit is used for matching the source medical code with the standard medical code to obtain a first matching degree of the source medical code and the standard medical code;
a second matching unit for calculating a second degree of matching of the source medical term with the standard medical term;
a third matching unit, configured to perform weighted summation on the first matching degree of the source medical code and the standard medical code in the first standard medical code combination and the second matching degree of the source medical term and the standard medical term in the first standard medical code combination, so as to obtain the matching degree of the source medical code combination and the first standard medical code combination; the first standard medical coding combination is any one of the standard medical coding combinations;
and the mapping unit is used for determining the first standard medical coding combination with the highest matching degree as a second standard medical coding combination and establishing the mapping relation between the source medical coding combination and the second standard medical coding combination.
In one possible implementation manner, the first matching unit includes:
the first matching subunit is used for matching the source medical code with the standard medical code when the coding digits of the source medical code and the standard medical code are the same, and if a first standard medical code which is completely consistent with the source medical code exists, setting a first matching degree of the source medical code and the first standard medical code to be a first numerical value and setting a first matching degree of the source medical code and other standard medical codes to be 0;
the second matching subunit is used for removing the last two codes of the source medical code to obtain a target code when the number of the code bits of the source medical code is a preset number and the last two codes are 00, matching the target code with the standard medical code, and if a second standard medical code completely consistent with the target code exists, setting a first matching degree of the source medical code and the second standard medical code as a first numerical value and setting the first matching degree of the source medical code and other standard medical codes as 0;
a third matching subunit, configured to, when the number of coding bits of the source medical code is different from that of the standard medical code, or the number of coding bits of the source medical code is not a preset number of bits, or the number of coding bits of the source medical code is a preset number of bits and the last two coding bits are not 00, match the first n bits of the source medical code with the standard medical code, if a third standard medical code completely identical to the first n bits of the source medical code exists, set the first matching degree between the source medical code and the third standard medical code to a second numerical value, and set the first matching degree between the source medical code and another standard medical code to 0; n is a positive integer, and the second value is less than the first value.
An apparatus for implementing medical code mapping, comprising: the system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the method for realizing medical code mapping.
A computer-readable storage medium having stored therein instructions which, when run on a terminal device, cause the terminal device to execute the above-mentioned method of implementing medical code mapping.
Therefore, the embodiment of the application has the following beneficial effects:
in the embodiment of the application, a standard medical code combination and a source medical code combination are obtained, and a source medical code in the source medical code combination is matched with a standard medical code in the standard medical code combination to obtain a first matching degree of the source medical code and the standard medical code; calculating a second matching degree of the source medical term in the source medical coding combination and the standard medical term in the standard medical coding combination; then, carrying out weighted summation on the first matching degree of the source medical code and the standard medical code in the first standard medical code combination and the second matching degree of the source medical term and the standard medical term in the first standard medical code combination to obtain the matching degree of the source medical code combination and the first standard medical code combination; and finally, determining the first standard medical coding combination with the highest matching degree as a second standard medical coding combination, and establishing a mapping relation between the source medical coding combination and the second standard medical coding combination.
By carrying out weighted calculation on the first matching degree and the second matching degree, the matching degree between the source medical coding combination and the first standard medical coding combination can be judged from two aspects of coding and terminology, and the accuracy of determining the mapping relation between the source medical coding combination and the second standard medical coding combination is improved. Moreover, the mapping relation can be established for a large number of source medical coding combinations, and the efficiency of establishing the second labeled medical coding combination mapped by the source medical coding combination is improved.
Drawings
Fig. 1 is a schematic diagram of a framework of an exemplary application scenario provided in an embodiment of the present application;
fig. 2 is a flowchart of a method for implementing medical code mapping according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an apparatus for implementing medical code mapping according to an embodiment of the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, embodiments accompanying the drawings are described in detail below.
In order to facilitate understanding and explaining the technical solutions provided by the embodiments of the present application, the following description will first describe the background art of the present application.
After studying conventional medical coding mapping, the inventor finds that, based on International Classification of Diseases (ICD) determined by the world health organization, ICD is adaptively extended according to the needs of disease Classification. However, since each extension version has no unified standard for extension classification, the medical code combinations in the resulting extension versions are not uniform. When medical data sharing is involved, the mapping relation between each extension version and the ICD needs to be determined manually, and the extension versions are unified. However, the number of medical codes in the extended version is huge, the method for manually determining is inefficient, and high accuracy cannot be guaranteed.
Based on this, the embodiment of the application provides a method and a device for realizing medical code mapping, which are implemented by firstly obtaining a standard medical code combination and a source medical code combination, and matching a source medical code in the source medical code combination with a standard medical code in the standard medical code combination to obtain a first matching degree of the source medical code and the standard medical code; calculating a second matching degree of the source medical term in the source medical coding combination and the standard medical term in the standard medical coding combination; then, carrying out weighted summation on the first matching degree of the source medical code and the standard medical code in the first standard medical code combination and the second matching degree of the source medical term and the standard medical term in the first standard medical code combination to obtain the matching degree of the source medical code combination and the first standard medical code combination; and finally, determining the first standard medical coding combination with the highest matching degree as a second standard medical coding combination, and establishing a mapping relation between the source medical coding combination and the second standard medical coding combination.
In order to facilitate understanding of the method for implementing medical code mapping provided by the embodiment of the present application, the following description is made with reference to a scenario example shown in fig. 1. Referring to fig. 1, the figure is a schematic diagram of a framework of an exemplary application scenario provided in an embodiment of the present application. Wherein, the source medical code combination set 101 includes a plurality of source medical code combinations 102. The first combination of standard medical codes 104 is any one of the combinations of standard medical codes 103.
In practical applications, one source medical code combination 102 may be selected from the source medical code combination set 101 to match with each standard medical code combination in the standard medical code combinations 103. And performing weighted summation on the obtained first matching degree of the source medical code and the standard medical code in the first standard medical code combination 104 and the second matching degree of the source medical term and the standard medical term in the first standard medical code combination 104 to obtain the matching degree of the source medical code combination 102 and the first standard medical code combination 104. And then selecting a first standard medical coding combination 104 with the highest matching degree from the standard medical coding combinations 103 as a second standard medical coding combination, and establishing a mapping relation between the source medical coding combination 102 and the second standard medical coding combination.
Those skilled in the art will appreciate that the block diagram shown in fig. 1 is only one example in which embodiments of the present application may be implemented. The scope of applicability of the embodiments of the present application is not limited in any way by this framework.
In order to facilitate understanding of the present application, a method for implementing medical code mapping provided by the embodiments of the present application is described below with reference to the accompanying drawings.
Referring to fig. 2, which is a flowchart of a method for implementing medical code mapping provided in an embodiment of the present application, as shown in fig. 2, the method may include S201-S206:
s201: standard medical code combinations are obtained, each standard medical code combination including a standard medical code and a corresponding standard medical term.
The standard medical code combination may be a combination of medical codes determined by a more authoritative organization or institution that is widely used in the medical field. It should be noted that the number of standard medical code combinations may be multiple. The standard medical code combination comprises a standard medical code and a standard medical term corresponding to the standard medical code.
As an example, see table 1, where table 1 is a schematic diagram of a standard medical coding combination provided in an embodiment of the present application.
| Standard medical coding | Standard medical terminology |
| A01.0 | Typhoid fever |
| A01.1 | Paratyphoid nail |
| A01.2 | Paratyphoid B |
| A01.3 | Paratyphoid C |
| A01.4 | Paratyphoid fever |
| …… | …… |
TABLE 1
The standard medical code combination has a standard medical code and a standard medical term. Take "A01.0 typhoid" as an example. "A01.0" is the standard medical code and "typhoid" is the standard medical term.
The standard medical code is used for marking standard medical terms, different standard medical terms can be distinguished through the standard medical code, and categories and hierarchies to which the standard medical terms belong can also be determined. The standard medical term may be a term of expertise in the medical field such as the name of a disease. Since each standard medical term has a corresponding standard medical code, the corresponding standard medical term can be determined by the standard medical code. The standard medical code may be used instead of or in addition to the corresponding standard medical term.
In one possible implementation, the standard medical code and the standard medical term may be set by the K-V key value. Wherein, the K key value corresponds to a standard medical code, and the V key value corresponds to a standard medical term. And matching with the standard medical code or the standard medical term by selecting the corresponding key value.
S202: a source medical coding combination is obtained, the source medical coding combination including a source medical code and a corresponding source medical term.
The source medical encoding combination is an encoding combination of a standard medical encoding combination for which a mapping needs to be determined. The source medical encoding combination may be a non-standard, but commonly used encoding combination in the medical field. For example, the source medical coding combination may be an extended version of the ICD in the source medical coding combination. As an example, the source medical code combination may be "a 01.000 typhoid".
The source medical code combination includes a source medical code and a source medical term corresponding to the source medical code. The source medical code is a code used for marking a source medical term in a source medical code combination, and the corresponding source medical term can be determined through the source medical code, and the category and the hierarchy of the source medical term can also be determined. The source medical term may be a term of art used in the medical field.
It should be noted that, when acquiring a source medical coding combination, one source medical coding combination may be acquired to match with a standard medical coding combination. In a possible implementation manner, an embodiment of the present application further provides a specific implementation manner of obtaining the source medical code, which is described in detail below.
S203: and matching the source medical code with the standard medical code to obtain a first matching degree of the source medical code and the standard medical code.
After the source medical code combination and the standard medical code combination are obtained, the source medical code is matched with the standard medical code. Specifically, the source medical code may be searched for in the standard medical code, and if the corresponding standard medical code is found, the first matching degree is set correspondingly for the standard medical code.
After the source medical code is matched with the standard medical code, a first matching degree between the source medical code and the standard medical code is determined according to a matching result.
Taking the above standard medical code and source medical code as examples, the source medical code "a 01.000" is matched with the standard medical code "a 01.0", "a 02.0", etc.
In one possible implementation, the corresponding matching mode may be determined according to the number of encoding bits of the source medical encoding. The embodiment of the present application provides a specific implementation manner of S203, please refer to the following.
S204: a second degree of match of the source medical term to the standard medical term is calculated.
On one hand, matching the source medical codes in the source medical code combination; on the other hand, matching of source medical terms in a combination of source medical codes is required. Therefore, the source medical coding combination and the standard medical coding combination can be matched in terms of coding and terminology, and a more accurate matching result can be obtained.
Taking the above standard medical code and source medical code as examples, the source medical term "typhoid fever" is matched with the standard medical terms "typhoid fever", "paratyphoid A", etc.
And calculating a second matching degree of the source medical term and the standard medical term according to the source medical term in the source medical coding combination and the standard medical term in the standard medical coding combination.
For example, the second matching degree may be obtained by calculating the matching degree of the same segmentation after segmenting the source medical term and the standard medical term. In another possible implementation manner, a model training manner may be further adopted to calculate a second matching degree of the source medical term and the standard medical term by calculating vector distances between the word vector and the word vector in the source medical term and the word vector in the standard medical term, respectively.
In one possible implementation, the present application provides a method for calculating a second matching degree of a source medical term and a standard medical term through word segmentation, and refer to the following implementation.
S205: weighting and summing a first matching degree of the source medical code and a standard medical code in a first standard medical code combination and a second matching degree of the source medical term and a standard medical term in the first standard medical code combination to obtain a matching degree of the source medical code combination and the first standard medical code combination; the first combination of standard medical codes is any one of the combinations of standard medical codes.
By the first matching degree between the obtained source medical code and the standard medical code and the second matching degree between the source medical term and the standard medical term, the matching degree between the source medical code combination and each standard medical code combination can be obtained. The standard medical coding combination of the highest degree of matching corresponding to the source medical coding combination may then be determined. In order to facilitate the calculation of the matching degree, any one standard medical coding combination can be determined from the standard medical coding combinations as the first standard medical coding combination. And calculating the matching degree of the source medical code combination and the first standard medical code combination by utilizing the first matching degree of the source medical code and the standard medical code in the first standard medical code combination and the second matching degree of the source medical term and the standard medical term in the first standard medical code combination.
In order to make the calculated matching degree more accurate, when the matching degree of the source medical coding combination and the first standard medical coding combination is calculated, the first matching degree and the second matching degree can be subjected to weighted summation calculation to obtain more accurate matching degree. In the embodiment of the present application, the magnitude relationship and the specific numerical value of the weight of the first matching degree and the weight of the second matching degree are not limited, and may be determined according to the numerical range and the importance degree of the first matching degree and the second matching degree. In a possible implementation manner, the weight may be determined according to a maximum value of the first matching degree and the second matching degree, so that the maximum value of the calculated matching degree is 1. For example, when the maximum value of the first matching degree is 0.5 and the maximum value of the second matching degree is 1, the weight of the first matching degree may be 1 and the weight of the second matching degree may be 0.5. When the maximum value of the first matching degree is 1 and the maximum value of the second matching degree is 1, the weight of the first matching degree may be 0.5, and the weight of the second matching degree may be 0.5. When the maximum value of the first matching degree is 0.5 and the maximum value of the second matching degree is 0.5, the weight of the first matching degree may be 1, and the weight of the second matching degree may be 1.
As an example, see table 2, table 2 is the matching degree of the source medical code combination and the first standard medical code combination. The source medical coding combination is 'A01.003 typhoid bacillary septicemia', and the matching degrees of the source medical coding combination and the plurality of first standard medical coding combinations are calculated according to the first matching degree and the second matching degree. Wherein, the weight of the first matching degree and the second matching degree is 1.
TABLE 2
In addition, when the numerical values of the first matching degree and the second matching degree cannot satisfy the condition of calculating the weighted sum, before the weighted calculation of the first matching degree and the second matching degree, data normalization processing may be performed on the first matching degree and the second matching degree. For example, when the first matching degree is a value between 0 and 100 and the second matching degree is a value between 0 and 1, the first matching degree may be normalized to obtain a value between 0 and 1. And then carrying out weighted summation calculation by utilizing the normalized first matching degree and the normalized second matching degree.
S206: and determining the first standard medical coding combination with the highest matching degree as a second standard medical coding combination, and establishing a mapping relation between the source medical coding combination and the second standard medical coding combination.
And after the matching degree of the source medical coding combination and the first standard medical coding combination is obtained, determining the first standard medical coding combination with the highest matching degree. And determining the first standard medical coding combination with the highest matching degree as a second standard medical coding combination, and establishing a mapping relation between the source medical coding combination and the second standard medical coding combination.
As an example, see table 3, table 3 is a mapping relationship of the established source medical code combination and the second standard medical code combination.
TABLE 3
In the embodiment of the application, a more accurate matching degree can be obtained by acquiring the standard medical coding combination and the source medical coding combination and matching the source medical coding combination and the standard medical coding combination from two aspects of coding and terminology. By taking the first standard medical coding combination with the highest matching degree as the second standard medical coding combination, the mapping relation between the source medical coding combination and the second standard medical coding combination can be established, so that the more accurate standard medical coding combination corresponding to the source medical coding combination can be obtained, and the efficiency of determining the mapped standard medical coding combination is improved.
It will be appreciated that the source medical code is augmented from a standard medical code, and that the source medical code generated may have a variety of code numbers.
In order to target different source medical codes with different coding bit numbers, a corresponding matching mode can be determined according to the coding bit number of the source medical code.
In a possible implementation manner, an embodiment of the present application provides an implementation manner of S203, matching a source medical code with a standard medical code to obtain a first matching degree between the source medical code and the standard medical code, including the following three cases:
a1: when the encoding digits of the source medical encoding and the standard medical encoding are the same, the source medical encoding and the standard medical encoding are matched, if a first standard medical encoding which is completely consistent with the source medical encoding exists, the first matching degree of the source medical encoding and the first standard medical encoding is set to be a first numerical value, and the first matching degree of the source medical encoding and other standard medical encoding is set to be 0.
In one possible case, the source medical code may be the same number of code bits as the standard medical code. The source medical code can now be matched directly to the standard medical code. If there is a first standard medical code that is identical to the source medical code, a first degree of match of the source medical code to the first standard medical code may be set to a first value.
For example, when the encoding bit number of the standard medical encoding is 4, the source medical encoding is a01.0, and the source medical encoding is the same as the encoding bit number of the standard medical encoding, the source medical encoding a01.0 is matched with the standard medical encoding. If the standard medical code of A01.0 exists, the first matching degree of the first standard medical code corresponding to A01.0 is set as a first numerical value.
The value range of the first value may be determined according to a matching manner of the source medical code combination and the standard medical code combination. In one possible implementation manner, in order to make the maximum value of the sum of the first matching degree and the second matching degree 1, the first matching degree and the second matching degree may be set to be 0.5 at most. The maximum value corresponding to the highest degree of match between the source medical code and the standard medical code, i.e. the first value, may be set to 0.5. Since the standard medical code does not have a repeated code value, the source medical code is not completely consistent with other standard medical codes after the standard medical code having the same value as the source medical code is determined. The first degree of match of the source medical code with the other standard medical codes may be set to 0.
Still taking the above example, after determining the standard medical code having a01.0, the first degree of match of the source medical code a01.0 with other standard medical codes, e.g., standard medical codes such as a01.1, a02.0, etc., may be set to 0.
A2: when the number of the coding bits of the source medical code is a preset number and the last two codes are 00, removing the last two codes of the source medical code to obtain a target code, matching the target code with the standard medical code, if a second standard medical code completely consistent with the target code exists, setting a first matching degree of the source medical code and the second standard medical code as a first numerical value, and setting a first matching degree of the source medical code and other standard medical codes as 0.
In another case, the number of bits of the source medical code may be greater than the number of coded bits of the standard medical code. When the number of bits of the source medical code is a preset number of bits and the last two bits of the source medical code are 00, the last two bits of the source medical code can be removed, and then the removed source medical code is matched with the standard medical code.
For example, when the preset number of bits is 6 bits. As an example, the source medical code may be a01.000, the number of coded bits is 6 bits, the same as the preset number of bits, and the last two bits are coded as 00. The last two bits of code can be removed to obtain a target code A01.0, and then the target code A01.0 is matched with the standard medical code.
If there is a second standard medical code that is identical to the target code, a first degree of matching of the source medical code to the second standard medical code may be set to a first value. The first value may be 0.5. The first degree of match for the other standard medical codes is then set to 0.
A3: when the number of coding bits of the source medical code is different from that of the standard medical code, or the number of coding bits of the source medical code is not a preset number, or the number of coding bits of the source medical code is a preset number and the last two coding bits are not 00, matching the first n bits of the source medical code with the standard medical code, if a third standard medical code completely consistent with the first n bits of the source medical code exists, setting the first matching degree of the source medical code and the third standard medical code as a second numerical value, and setting the first matching degree of the source medical code and other standard medical codes as 0; n is a positive integer and the second value is less than the first value.
Except for the above two cases, that is, when the encoding bits of the source medical encoding and the standard medical encoding are different; or the encoding digit number of the source medical encoding is not a preset digit number; or when the coding digit number of the source medical code is a preset digit number but the last two digits are not 00, selecting the first n digits in the source medical code to be matched with the standard medical code.
In one possible embodiment, n may be a number less than or equal to the number of encoding bits of a standard medical encoding. For example, when the number of standard medical encoding bits is 4 bits, the first 4 bits of the source medical encoding may be selected to match the standard medical encoding.
Taking the source medical code as a01.003 as an example, the source medical code is a case that a01.003 conforms to the condition that the number of coded bits of the source medical code is a preset number of bits 6 but the last two coded bits are not 00. At this point, the first 4 digits, namely A01.0, may be selected to match the standard medical code.
When a third standard medical code which is completely consistent with the first n bits of the source medical code exists, the first matching degree of the source medical code and the third standard medical code can be set to be a second value. However, since the source medical code is not identical to the third standard medical code, the second value of the first degree of matching is set to be smaller than the first value. For example, when the first value is 0.5, the second value may be set to 0.4.
After the first matching degree of the source medical code and the third standard medical code is set to the second numerical value, no other standard medical code completely consistent with the source medical code of the first n bits exists, and the first matching degree of the other standard medical codes is set to 0.
In the embodiment of the application, the matching mode of the source medical code and the standard medical code is divided into three according to the number of the coding bits of the source medical code. And matching the source medical code with the standard medical code when the code digits of the source medical code and the standard medical code are the same, and correspondingly setting the first matching degree of the first standard medical code which is completely consistent as a first numerical value. When the number of the source medical coding bits is a preset number and the last two bits are 00, removing the last two bits 00, then performing matching, and correspondingly setting the first matching degree of the completely consistent first standard medical coding as a first numerical value. And when the source medical codes cannot meet the two conditions, selecting the first n source medical codes for matching, and setting the first matching degree of the completely consistent first standard medical codes as a second numerical value. By carrying out classification matching according to the coding bit number of the source medical code, the standard medical code which is most matched under different coding bit numbers can be obtained, and the accuracy of determining the standard medical code matched with the source medical code is improved.
In determining the second degree of matching of the source medical term and the standard medical term, since the segmentation words included in the standard medical term and the source medical term are substantially the same, the calculation of the second degree of matching of the source medical term and the standard medical term may be performed according to the text similarity of the segmentation words.
In a possible implementation manner, the method for implementing medical coding mapping further includes the following steps:
and performing word segmentation on each standard medical term to establish a word segmentation dictionary.
The standard medical terms comprise more standard term vocabularies, and each standard medical term can be segmented to establish a segmentation dictionary related to the medical term.
For example, the standard medical term "hepatitis typhi" can be divided into two words, typhoid and hepatitis.
Further, on the basis of the word segmentation dictionary, calculating a second matching degree of the source medical term and the standard medical term, and the method comprises the following two steps:
b1: and segmenting the source medical terms according to the segmentation dictionary.
On the basis of establishing a word segmentation dictionary, the vocabulary of the source medical terms can be divided according to the segmentation contained in the word segmentation dictionary.
Specifically, a certain number of characters can be selected from the source medical terms according to a certain sequence to form a target vocabulary, and the target vocabulary is inquired in the word segmentation dictionary. And if the corresponding participle can be obtained through query, taking the target vocabulary as a participle. Then, a new target vocabulary is selected from the first character after the target vocabulary.
By segmenting the source medical term, the segmentation included in the source medical term can be obtained.
B2: and performing text similarity calculation according to the segmentation words included by the source medical terms and the segmentation words included by the standard medical terms to obtain a second matching degree of the source medical terms and the standard medical terms.
And performing text similarity calculation on the segmentation words included by the source medical term and the segmentation words included by the standard medical term, and obtaining a second matching degree of the source medical term and the standard medical term according to the obtained text similarity calculation result.
In the embodiment of the application, a segmentation dictionary can be obtained by segmenting the standard medical term, the obtained segmentation dictionary is used for segmenting the source medical term, and the text similarity is calculated according to the segmentation of the source medical term and the segmentation of the standard medical term, so that the second matching degree between the source medical term and the standard medical term is determined. Through the word segmentation dictionary mode, the calculated second matching degree is more accurate, and meanwhile, the accuracy of the standard medical code combination mapped with the source medical code combination is improved.
It will be appreciated that the second standard medical code combination is the standard medical code combination that matches the source medical code combination most closely. However, there may be situations where the first standard medical coding combination does not match the source medical coding combination sufficiently.
Based on the above problem, after the matching degree of the source medical coding combination and the second standard medical coding combination is obtained, the matching degree of the source medical coding combination and the second standard medical coding combination can be checked. In a possible implementation manner, the method for implementing medical coding mapping further includes the following two steps:
c1: and if the matching degree of the source medical coding combination and the second standard medical coding combination is smaller than a preset threshold value, checking the mapping relation of the source medical coding combination and the second standard medical coding combination.
And judging the size relationship between the matching degree of the source medical coding combination and the second standard medical coding combination and a preset threshold, and if the matching degree of the source medical coding combination and the second standard medical coding combination is smaller than the preset threshold, indicating that the matching degree of the source medical coding combination and the second standard medical coding combination is insufficient. The preset threshold may be a minimum matching degree.
When the matching degree of the source medical coding combination and the second standard medical coding combination is smaller than a preset threshold, further checking of the mapping relation between the source medical coding combination and the second standard medical coding combination is required, and it is also ensured that the mapping relation between the source medical coding combination and the second standard medical coding combination can be established.
In one possible implementation, the source medical code combination and the second standard code combination may be displayed to a user for verification selection by the user. And if a verification passing instruction triggered by a user is received, determining the mapping relation between the source medical coding combination and the second standard coding combination. If a user-triggered verification failure instruction is received, then the following C2 is executed.
C2: and if the verification fails, canceling the mapping relation between the source medical code combination and the second standard medical code combination.
And if the mapping relation between the source medical coding combination and the second standard coding combination does not pass the verification, the mapping relation between the source medical coding combination and the second standard coding combination is not established, and the mapping relation between the source medical coding combination and the second standard medical coding combination is cancelled.
Based on the above steps, in the embodiment of the present application, after the matching degree of the source medical code combination and the second standard code combination is determined, the mapping relationship between the source medical code combination and the first standard code combination, of which the matching degree is smaller than the preset threshold, is verified, and if the verification fails, the mapping relationship is cancelled. The determined mapping relation between the source medical coding combination and the first standard coding combination can be ensured to be more accurate through verification, and the mapping relation between the source medical coding combination with lower matching degree and the first standard coding combination is prevented from being established.
In practical applications, if the number of the source medical code combinations is large, the acquiring of the source medical code combination in S202 may include:
a source medical code combination is obtained from the set of source medical code combinations.
When the number of source medical encoding combinations is large, a set of source medical encoding combinations may be established. The set of source medical code combinations has a plurality of source medical code combinations.
When the source medical coding combination is obtained, a source medical coding combination can be obtained from the set of source medical coding combinations, and the mapping relation between the source medical coding combination and the standard coding combination is determined.
Further, the method further comprises:
repeatedly executing the steps of obtaining a source medical code combination from the set of source medical code combinations and the subsequent steps;
and acquiring the mapping relation between each source medical coding combination and the standard medical coding combination.
And acquiring a source medical code combination from the set of source medical code combinations, and matching the source medical code and the source medical term in the source medical code combination with the standard medical code and the standard medical term respectively. And then carrying out weighted summation according to the first matching degree of the standard medical codes in the source medical code and the first standard medical code combination and the second matching degree of the standard medical terms in the source medical term and the first standard medical code combination to obtain the matching degree of the source medical code combination and the first standard medical code combination. And selecting the first standard medical coding combination with the highest matching degree as a second standard medical coding combination, and establishing a mapping relation between the source medical coding combination and the second standard medical coding combination.
Then, a source medical code combination is obtained from the set of source medical code combinations, and the subsequent correlation step of determining the matching degree is carried out.
And acquiring the mapping relation between each source medical coding combination and each standard medical coding combination, so as to obtain the mapping relation between the source medical coding combination and each standard medical coding combination in the set of source medical coding combinations, and determine the mapping relation between the source medical coding combination and each standard medical coding combination.
In the embodiment of the present application, a piece of source medical coding combination is selected from a set of source medical coding combinations, and a standard medical coding combination mapped by the piece of source medical coding combination is determined. And then selecting a source medical coding combination from the set of source medical coding combinations, and determining a standard medical coding combination with a mapping relation, so that the determination of the mapping relation between the source medical coding combination and the standard medical coding combination in the set of source medical coding combinations can be realized.
Based on the method for implementing medical code mapping provided by the above method embodiment, the embodiment of the present application also provides a method for implementing medical code mapping, and the following describes an apparatus for implementing medical code mapping with reference to the accompanying drawings.
Referring to fig. 3, the diagram is a schematic structural diagram of an apparatus for implementing medical code mapping according to an embodiment of the present application. As shown in fig. 3, the apparatus for implementing medical code mapping includes:
a first obtaining unit 301, configured to obtain standard medical code combinations, each of which includes a standard medical code and a corresponding standard medical term;
a second obtaining unit 302, configured to obtain a source medical coding combination, where the source medical coding combination includes a source medical code and a corresponding source medical term;
a first matching unit 303, configured to match the source medical code with the standard medical code to obtain a first matching degree between the source medical code and the standard medical code;
a second matching unit 304 for calculating a second degree of matching of the source medical term with the standard medical term;
a third matching unit 305, configured to perform weighted summation on the first matching degree of the source medical code and the standard medical code in the first standard medical code combination and the second matching degree of the source medical term and the standard medical term in the first standard medical code combination, so as to obtain the matching degree of the source medical code combination and the first standard medical code combination; the first standard medical coding combination is any one of the standard medical coding combinations;
a mapping unit 306, configured to determine the first standard medical code combination with the highest matching degree as a second standard medical code combination, and establish a mapping relationship between the source medical code combination and the second standard medical code combination.
Optionally, the first matching unit 303 includes:
the first matching subunit is used for matching the source medical code with the standard medical code when the coding digits of the source medical code and the standard medical code are the same, and if a first standard medical code which is completely consistent with the source medical code exists, setting a first matching degree of the source medical code and the first standard medical code to be a first numerical value and setting a first matching degree of the source medical code and other standard medical codes to be 0;
the second matching subunit is used for removing the last two codes of the source medical code to obtain a target code when the number of the code bits of the source medical code is a preset number and the last two codes are 00, matching the target code with the standard medical code, and if a second standard medical code completely consistent with the target code exists, setting a first matching degree of the source medical code and the second standard medical code as a first numerical value and setting the first matching degree of the source medical code and other standard medical codes as 0;
a third matching subunit, configured to, when the number of coding bits of the source medical code is different from that of the standard medical code, or the number of coding bits of the source medical code is not a preset number of bits, or the number of coding bits of the source medical code is a preset number of bits and the last two coding bits are not 00, match the first n bits of the source medical code with the standard medical code, if a third standard medical code completely identical to the first n bits of the source medical code exists, set the first matching degree between the source medical code and the third standard medical code to a second numerical value, and set the first matching degree between the source medical code and another standard medical code to 0; n is a positive integer, and the second value is less than the first value.
Optionally, the apparatus further comprises:
the word segmentation unit is used for segmenting each standard medical term to establish a word segmentation dictionary;
the second matching unit 304 is specifically configured to perform word segmentation on the source medical term according to the word segmentation dictionary; and performing text similarity calculation according to the segmentation words included by the source medical term and the segmentation words included by the standard medical term to obtain a second matching degree of the source medical term and the standard medical term.
Optionally, the apparatus further comprises:
the verification unit is used for verifying the mapping relation between the source medical coding combination and the second standard medical coding combination if the matching degree of the source medical coding combination and the second standard medical coding combination is smaller than a preset threshold value;
and the canceling unit is used for canceling the mapping relation between the source medical code combination and the second standard medical code combination if the verification is not passed.
Optionally, the first obtaining unit 301 is specifically configured to obtain a source medical code combination from a set of source medical code combinations.
Optionally, the apparatus further comprises:
a selecting unit for repeatedly executing the acquiring of a source medical code combination from the set of source medical code combinations and the subsequent steps; and acquiring the mapping relation between each source medical coding combination and the standard medical coding combination.
In addition, an embodiment of the present application further provides an apparatus for implementing medical code mapping, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing any of the embodiments of the method of implementing medical code mapping as described in the above embodiments when executing the computer program.
In addition, the present application also provides a computer-readable storage medium, where instructions are stored, and when the instructions are executed on a terminal device, the terminal device is caused to execute any implementation of the method for implementing medical code mapping as described in the above embodiment.
It should be noted that, in the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the system or the device disclosed by the embodiment, the description is simple because the system or the device corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of implementing medical code mapping, the method comprising:
acquiring standard medical code combinations, wherein each standard medical code combination comprises a standard medical code and a corresponding standard medical term;
acquiring a source medical code combination, wherein the source medical code combination comprises a source medical code and a corresponding source medical term;
matching the source medical code with the standard medical code to obtain a first matching degree of the source medical code and the standard medical code;
calculating a second degree of match of the source medical term with the standard medical term;
weighting and summing a first matching degree of the source medical code and a standard medical code in a first standard medical code combination and a second matching degree of the source medical term and a standard medical term in the first standard medical code combination to obtain a matching degree of the source medical code combination and the first standard medical code combination; the first standard medical coding combination is any one of the standard medical coding combinations;
and determining the first standard medical coding combination with the highest matching degree as a second standard medical coding combination, and establishing a mapping relation between the source medical coding combination and the second standard medical coding combination.
2. The method of claim 1, wherein said matching the source medical code with the standard medical code to obtain a first degree of matching between the source medical code and the standard medical code comprises:
when the encoding digits of the source medical encoding and the standard medical encoding are the same, matching the source medical encoding and the standard medical encoding, if a first standard medical encoding which is completely consistent with the source medical encoding exists, setting a first matching degree of the source medical encoding and the first standard medical encoding as a first numerical value, and setting a first matching degree of the source medical encoding and other standard medical encoding as 0;
when the number of the coding bits of the source medical code is a preset number and the last two codes are 00, removing the last two codes of the source medical code to obtain a target code, matching the target code with the standard medical code, if a second standard medical code completely consistent with the target code exists, setting a first matching degree of the source medical code and the second standard medical code as a first numerical value, and setting a first matching degree of the source medical code and other standard medical codes as 0;
when the number of the coding bits of the source medical code is different from that of the standard medical code, or the number of the coding bits of the source medical code is not a preset number, or the number of the coding bits of the source medical code is a preset number and the last two coding bits are not 00, matching the first n bits of the source medical code with the standard medical code, if a third standard medical code completely consistent with the first n bits of the source medical code exists, setting the first matching degree of the source medical code and the third standard medical code as a second numerical value, and setting the first matching degree of the source medical code and other standard medical codes as 0; n is a positive integer, and the second value is less than the first value.
3. The method of claim 1, further comprising:
performing word segmentation on each standard medical term to establish a word segmentation dictionary;
the calculating a second degree of match of the source medical term with the standard medical term includes:
segmenting the source medical terms according to the segmentation dictionary;
and performing text similarity calculation according to the segmentation words included by the source medical term and the segmentation words included by the standard medical term to obtain a second matching degree of the source medical term and the standard medical term.
4. The method of claim 1, further comprising:
if the matching degree of the source medical coding combination and the second standard medical coding combination is smaller than a preset threshold value, checking the mapping relation of the source medical coding combination and the second standard medical coding combination;
and if the verification is not passed, canceling the mapping relation between the source medical code combination and the second standard medical code combination.
5. The method according to any one of claims 1-4, wherein the obtaining a source medical coding combination comprises:
a source medical code combination is obtained from the set of source medical code combinations.
6. The method of claim 5, further comprising:
repeatedly executing the steps of obtaining a source medical code combination from the set of source medical code combinations and the following steps;
and acquiring the mapping relation between each source medical coding combination and the standard medical coding combination.
7. An apparatus for implementing medical code mapping, the apparatus comprising:
the device comprises a first acquisition unit, a second acquisition unit and a processing unit, wherein the first acquisition unit is used for acquiring standard medical code combinations, and each standard medical code combination comprises a standard medical code and a corresponding standard medical term;
a second obtaining unit, configured to obtain a source medical coding combination, where the source medical coding combination includes a source medical code and a corresponding source medical term;
the first matching unit is used for matching the source medical code with the standard medical code to obtain a first matching degree of the source medical code and the standard medical code;
a second matching unit for calculating a second degree of matching of the source medical term with the standard medical term;
a third matching unit, configured to perform weighted summation on the first matching degree of the source medical code and the standard medical code in the first standard medical code combination and the second matching degree of the source medical term and the standard medical term in the first standard medical code combination, so as to obtain the matching degree of the source medical code combination and the first standard medical code combination; the first standard medical coding combination is any one of the standard medical coding combinations;
and the mapping unit is used for determining the first standard medical coding combination with the highest matching degree as a second standard medical coding combination and establishing the mapping relation between the source medical coding combination and the second standard medical coding combination.
8. The apparatus of claim 7, wherein the first matching unit comprises:
the first matching subunit is used for matching the source medical code with the standard medical code when the coding digits of the source medical code and the standard medical code are the same, and if a first standard medical code which is completely consistent with the source medical code exists, setting a first matching degree of the source medical code and the first standard medical code to be a first numerical value and setting a first matching degree of the source medical code and other standard medical codes to be 0;
the second matching subunit is used for removing the last two codes of the source medical code to obtain a target code when the number of the code bits of the source medical code is a preset number and the last two codes are 00, matching the target code with the standard medical code, and if a second standard medical code completely consistent with the target code exists, setting a first matching degree of the source medical code and the second standard medical code as a first numerical value and setting the first matching degree of the source medical code and other standard medical codes as 0;
a third matching subunit, configured to, when the number of coding bits of the source medical code is different from that of the standard medical code, or the number of coding bits of the source medical code is not a preset number of bits, or the number of coding bits of the source medical code is a preset number of bits and the last two coding bits are not 00, match the first n bits of the source medical code with the standard medical code, if a third standard medical code completely identical to the first n bits of the source medical code exists, set the first matching degree between the source medical code and the third standard medical code to a second numerical value, and set the first matching degree between the source medical code and another standard medical code to 0; n is a positive integer, and the second value is less than the first value.
9. An apparatus for implementing medical code mapping, comprising: memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the method of implementing medical code mapping as claimed in any one of claims 1-6 when executing the computer program.
10. A computer-readable storage medium, having stored therein instructions, which, when run on a terminal device, cause the terminal device to perform the method of implementing medical code mapping according to any one of claims 1-6.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003101788A (en) * | 2001-09-25 | 2003-04-04 | Ricoh Co Ltd | Decoding method, decoding device, picture processor, packet header generating method and packet header generating device |
| CN104156415A (en) * | 2014-07-31 | 2014-11-19 | 沈阳锐易特软件技术有限公司 | Mapping processing system and method for solving problem of standard code control of medical data |
| CN107480425A (en) * | 2017-07-14 | 2017-12-15 | 广东医睦科技有限公司 | A kind of medicine information processing method based on medicine coding |
| JP2018014058A (en) * | 2016-07-22 | 2018-01-25 | 株式会社トプコン | Medical information processing system, medical information processing device and medical information processing method |
| US20180046780A1 (en) * | 2015-04-22 | 2018-02-15 | Antidote Technologies Ltd. | Computer implemented method for determining clinical trial suitability or relevance |
| CN107784611A (en) * | 2017-04-11 | 2018-03-09 | 平安医疗健康管理股份有限公司 | medicine coding method and device |
| CN108182972A (en) * | 2017-12-15 | 2018-06-19 | 上海长江科技发展有限公司 | The intelligent coding method and system of Chinese medical diagnosis on disease based on participle network |
| CN109033080A (en) * | 2018-07-12 | 2018-12-18 | 上海金仕达卫宁软件科技有限公司 | Medical terms standardized method and system based on probability transfer matrix |
| CN109299238A (en) * | 2018-09-27 | 2019-02-01 | 北京惠每云科技有限公司 | A kind of data query method and apparatus |
| CN109408820A (en) * | 2018-10-17 | 2019-03-01 | 长沙瀚云信息科技有限公司 | A kind of medical terminology mapped system and method, equipment and storage medium |
| CN109495113A (en) * | 2018-10-19 | 2019-03-19 | 华南理工大学 | A kind of compression method and device of EEG signals |
| CN110349639A (en) * | 2019-07-12 | 2019-10-18 | 之江实验室 | A kind of multicenter medical terms standardized system based on common therapy terminology bank |
| CN111444333A (en) * | 2020-04-25 | 2020-07-24 | 上海健交科技服务有限责任公司 | Insurance medicine and clinical medicine code mapping method |
-
2020
- 2020-09-27 CN CN202011033218.9A patent/CN112052667B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003101788A (en) * | 2001-09-25 | 2003-04-04 | Ricoh Co Ltd | Decoding method, decoding device, picture processor, packet header generating method and packet header generating device |
| CN104156415A (en) * | 2014-07-31 | 2014-11-19 | 沈阳锐易特软件技术有限公司 | Mapping processing system and method for solving problem of standard code control of medical data |
| US20180046780A1 (en) * | 2015-04-22 | 2018-02-15 | Antidote Technologies Ltd. | Computer implemented method for determining clinical trial suitability or relevance |
| JP2018014058A (en) * | 2016-07-22 | 2018-01-25 | 株式会社トプコン | Medical information processing system, medical information processing device and medical information processing method |
| CN107784611A (en) * | 2017-04-11 | 2018-03-09 | 平安医疗健康管理股份有限公司 | medicine coding method and device |
| CN107480425A (en) * | 2017-07-14 | 2017-12-15 | 广东医睦科技有限公司 | A kind of medicine information processing method based on medicine coding |
| CN108182972A (en) * | 2017-12-15 | 2018-06-19 | 上海长江科技发展有限公司 | The intelligent coding method and system of Chinese medical diagnosis on disease based on participle network |
| CN109033080A (en) * | 2018-07-12 | 2018-12-18 | 上海金仕达卫宁软件科技有限公司 | Medical terms standardized method and system based on probability transfer matrix |
| CN109299238A (en) * | 2018-09-27 | 2019-02-01 | 北京惠每云科技有限公司 | A kind of data query method and apparatus |
| CN109408820A (en) * | 2018-10-17 | 2019-03-01 | 长沙瀚云信息科技有限公司 | A kind of medical terminology mapped system and method, equipment and storage medium |
| CN109495113A (en) * | 2018-10-19 | 2019-03-19 | 华南理工大学 | A kind of compression method and device of EEG signals |
| CN110349639A (en) * | 2019-07-12 | 2019-10-18 | 之江实验室 | A kind of multicenter medical terms standardized system based on common therapy terminology bank |
| CN111444333A (en) * | 2020-04-25 | 2020-07-24 | 上海健交科技服务有限责任公司 | Insurance medicine and clinical medicine code mapping method |
Non-Patent Citations (6)
| Title |
|---|
| MARIO ALMAGRO等: "ICD-10 Coding of Spanish Electronic Discharge Summaries: An Extreme Classification Problem", IEEE, vol. 8, pages 100073 * |
| 王悦喜等: "复方单硝酸异山梨酯缓释片治疗心绞痛的临床研究", 内蒙古医学院学报, vol. 27, no. 3, pages 176 * |
| 王雪等: "阿尔茨海默病基因-疾病关联的知识挖掘", 图书情报工作, vol. 64, no. 13, pages 120 * |
| 谢双等: "国内外食品分类和编码体系比较", 中国食物与营养, vol. 26, no. 3, pages 19 * |
| 谢雨杉;王利亚;李莘;邱航;杨昊;: "基于语义相似度的ICD-10编码归一化", 中国病案, vol. 19, no. 09, pages 18 * |
| 赵洁等: "国内外生物医学领域本体研究与 实践进展", 数字图书馆论坛, no. 8, pages 7 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022142022A1 (en) * | 2020-12-28 | 2022-07-07 | 平安科技（深圳）有限公司 | Matching method, apparatus and device for external medical material directory, and storage medium |
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