CN111599486A - Traditional Chinese medicine prescription recommendation sorting method based on data matching - Google Patents
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
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- G16H70/40—ICT specially adapted for the handling or processing of medical references relating to drugs, e.g. their side effects or intended usage
Abstract
The invention discloses a Chinese medicine prescription recommendation ordering method based on data matching, which comprises the steps of receiving a Chinese medicine prescription recommendation request; judging whether the diagnosis content in the traditional Chinese medicine prescription is a standard symptom set; if the diagnosis content is not the standard symptom set, the diagnosis content needs to be identified to generate the standard symptom set, matched prescriptions are inquired from a preprocessed traditional Chinese medicine prescription record set according to search conditions, inquiry results are ranked and recommended to a user, and the recommended prescriptions selected by the user or new prescriptions input by a doctor are updated to the traditional Chinese medicine prescription data set. The invention maintains a traditional Chinese medicine prescription record set in advance, preferentially recommends the prescription with higher use frequency (more prescription quantity) for the symptoms with the same or similar diagnosis contents, and is convenient for doctors to directly and quickly select the traditional Chinese medicine compatibility set for the same symptoms.
Description
Technical Field
The invention relates to the technical field of traditional Chinese medicine prescription information processing, in particular to a traditional Chinese medicine prescription recommendation sorting method based on data matching.
Background
The existing Chinese medicine prescription database in the Chinese medicine information system has important learning and reference values. After knowing the sex, age and diagnosis information of the patient, the user can acquire the recommended prescription from the prescription library of the traditional Chinese medicine for learning and reference. How to obtain a prescription with high reference value from a large number of traditional Chinese medicine prescriptions and arrange the prescription in the front is a problem to be solved.
In the prior art, diagnosis information is mainly analyzed, a treatment prescription is directly matched in a traditional Chinese medicine prescription database, the requirement on the degree of association is high, and the degree of association of the matched prescription is still low at present.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a traditional Chinese medicine prescription recommending and sequencing method based on data matching, which can enable a user to quickly obtain a desired recommended prescription.
In order to achieve the purpose, the invention adopts the technical scheme that:
a traditional Chinese medicine prescription recommendation sorting method based on data matching comprises the following steps:
receiving a traditional Chinese medicine prescription recommendation request;
judging whether the diagnosis content in the traditional Chinese medicine prescription is a standard symptom set;
if the diagnosis content is not the standard symptom set, identifying the diagnosis content to generate the standard symptom set, inquiring matched prescriptions from a preprocessed traditional Chinese medicine prescription record set according to search conditions, sequencing and recommending inquiry results to a user, and updating the traditional Chinese medicine prescription data set according to recommended prescriptions selected by the user or new prescriptions input by a doctor;
if the diagnosis content is a standard symptom set, inquiring a matched prescription from a preprocessed traditional Chinese medicine prescription record set according to a search condition, sequencing and recommending an inquiry result to a user, and updating the recommended prescription selected by the user or a new prescription input by a doctor to the traditional Chinese medicine prescription data set;
wherein, the search condition is at least diagnosis content, and the search is preferentially carried out according to the diagnosis content;
wherein identifying the diagnosis generates a standard symptom set, comprising:
segmenting symptom formation phrases of the diagnostic content; dividing the phrases into symptom words by Chinese word segmentation, and combining; matching the symptom words with a standard symptom set dictionary to form standard symptoms through a neural network algorithm; combining and de-duplicating to form a standard symptom set;
wherein the preprocessed TCM prescription record set is formed by the following steps:
classifying according to different diagnosis contents, and classifying the prescriptions with the same diagnosis content into one class;
further classifying the prescriptions with the same diagnosis content according to the traditional Chinese medicine compatibility set, and counting the number of the prescriptions of each class.
Preferably, the method for judging whether the diagnosis content in the traditional Chinese medicine prescription is a standard symptom set is that the diagnosis content is divided into phrases by separating symbols, the phrases are matched with a pre-stored standard symptom set dictionary, and if the phrases are completely matched with the standard symptom set, the diagnosis content is the standard symptom set.
Preferably, the diagnostic content is segmented into phrases by separator symbols, using segmentation based on punctuation.
Preferably, the search condition further includes gender and/or age, wherein age is a search range further expanded according to patient age, and is: the age of the patient is more than or equal to 0.8 and less than or equal to 1.2.
Preferably, the query results are ranked and recommended to the user, and the target prescription records are ranked and recommended in a descending order according to the prescription number.
Preferably, the new prescription selected by the user or entered by the doctor is updated to the data set of the traditional Chinese medicine prescription, specifically, the diagnosis content and the traditional Chinese medicine compatibility set of the new prescription are recorded in the traditional Chinese medicine prescription record set, and the number of prescriptions is increased by 1 in the prescription record set which has the same diagnosis content and the same traditional Chinese medicine compatibility set.
Compared with the prior art, the invention can achieve the following beneficial effects: a traditional Chinese medicine prescription record set is maintained in advance, so that the operation amount and the query time can be greatly saved; for the symptoms with the same or similar diagnosis contents, the prescription with higher use frequency (more prescription quantity) is recommended preferentially, so that doctors can conveniently and directly and quickly select the traditional Chinese medicine compatibility set for the same symptoms.
Drawings
FIG. 1 is a flowchart of a method for recommending and ordering TCM prescription based on data matching in example 1;
FIG. 2 is a flowchart of the generation of a standard symptom set after the diagnosis is identified in example 1;
FIG. 3 is a characteristic word of a recorded prescription and a prescription to be recorded in embodiment 1;
fig. 4 is a traditional chinese prescription data set formed after pretreatment for all prescriptions in example 1.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
Example 1
As shown in fig. 1, it is a flowchart of a method for recommending and ordering chinese medical prescriptions based on data matching provided by the present invention. As shown in fig. 3, the provided method for recommending and ordering chinese medicine prescriptions based on data matching, aiming at prescriptions at least completing the collection of diagnosis contents, recommends a chinese medicine compatibility set according to the diagnosis contents, includes the following steps:
s101: receiving a traditional Chinese medicine prescription recommendation request;
the traditional Chinese medicine prescription recommendation request can be sent autonomously after a doctor writes the diagnosis content, or can be automatically generated by the system after the traditional Chinese medicine information system detects that the doctor user writes the diagnosis content.
S102: judging whether the diagnosis content is a standard symptom set;
because the styles of the diagnosis contents written by each doctor are different, some doctors adopt the symptom words in the standard symptom set dictionary for description, and some doctors are used to describe the symptoms in own language, so that the diagnosis contents cannot form standard and uniform symptom descriptions. The standard symptom set dictionary is a standard symptom library which is stored in advance and described according to the traditional Chinese medicine theory, and collects common symptom words for traditional Chinese medicine diagnosis. The doctor describes the diagnosis by using the symptom words in the standard symptom set dictionary, and the entered diagnosis content is the standard symptom set. The judgment method comprises the steps of segmenting diagnostic content into phrases through separating symbols, wherein the separating symbols comprise 'a', 'a'; "". "etc., all phrases can find 100% match in the standard symptom set dictionary, which indicates that the diagnosis is standard symptom. When the diagnosis content is judged not to be the standard symptom set, the process proceeds to step S103, and if it is the standard symptom, the process proceeds to step S104.
S103: generating standard symptom set after identifying diagnosis content
If the diagnosis content is not the standard symptom set, the diagnosis content is not further decomposed into standard symptom words, and the diagnosis content needs to be generated into the standard symptom set.
Referring to fig. 2, a flow chart of generating a standard symptom set after identifying the diagnosis content in embodiment 1 of the present invention is shown.
The method comprises the following steps of generating a standard symptom set from non-standard diagnosis contents:
s301: segmenting symptom formation phrases of the diagnosis content;
the diagnosis content written by the doctor is segmented by separating symbols to form phrases. The separator symbols include ","; "". "and the like.
S302: dividing the phrases into symptom words by Chinese word segmentation, and combining;
each phrase contains a set of diagnoses, and the phrase needs to be further split into shorter symptomatic words through Chinese word segmentation. After Chinese word segmentation, words which are irrelevant to symptoms are discarded, and simultaneously, the combination of nouns and verbs or nouns and adjectives is added to form symptomatic words.
S303: matching the symptom words with a dictionary to form standard symptoms through a neural network algorithm;
and (3) associating and mapping the symptom words obtained in the last step to symptom words in a standard symptom set dictionary through a neural network algorithm, mapping the symptom words to a plurality of symptom words, and selecting 2 words with the highest matching degree.
S304: combining and de-duplicating to form a standard symptom set;
since the diagnosis content written by the doctor is divided into phrases, each phrase may have different descriptions but points to the same symptom substantially, so that when the standard symptoms are matched respectively, repeated symptom words are formed, and the standard symptom set needs to be formed by combining and de-duplicating.
S104: and inquiring the matched prescription from the preprocessed traditional Chinese medicine prescription record set according to the search condition.
After the above steps, the diagnosis content is processed into a standard symptom set, which is convenient for comparison with the diagnosis content in other prescriptions. As shown in fig. 3, after each prescription is made by the doctor, the prescription is stored in the database of the prescription of the traditional Chinese medicine, and after each recorded prescription is desensitized, the extracted feature words comprise sex, age, diagnosis content, traditional Chinese medicine compatibility set, prescription time and prescription quantity.
As shown in fig. 4, preprocessing the chinese medicine prescription database to form a chinese medicine prescription record set specifically includes:
(1) classifying according to different diagnostic contents
Classifying the prescriptions with the same diagnosis content into one class, and counting the diagnosis content CiThe same prescription forms a record set i;
(2) further categorizing prescriptions having the same diagnostic content
In the same record set i, although the diagnosis contents are the same, different prescriptions adopt different Chinese medicine compatibility sets Ai,jFor treatment, the same Chinese medicinal compatibility set A is respectively adoptedi,jThe number of prescriptions Ti,j。
Therefore, the Chinese medicine prescription record set is formed by carrying out classified statistics on the prescriptions.
The search condition at least comprises diagnosis content, and the traditional Chinese medicine compatibility set is matched from the traditional Chinese medicine prescription record set according to the diagnosis content. The search criteria may also include gender or/and age, i.e., the results are further filtered by gender or/and age in the matching completed diagnostic content query results. Wherein the age is a further expanded search range according to the patient's age, and is: the age of the patient is more than or equal to 0.8 and less than or equal to 1.2.
S105: and recommending the query results to the user in an ordered manner.
And (4) the query result is a certain record set i, the Chinese medicine compatibility sets are sorted according to the number of the prescriptions, the sorting rule is that the sorting is carried out according to the number of the prescriptions from more to less, and the sorted result is recommended to a doctor user.
S106: and updating to the traditional Chinese medicine prescription data set according to the recommended prescription selected by the user or the new prescription input by the doctor.
As shown in fig. 3, a doctor inputs a traditional Chinese medicine compatibility set in a prescription to be recorded with reference to a recommended prescription (traditional Chinese medicine compatibility set) to form a new prescription, automatically inputs prescription time after the prescription is submitted, simultaneously records the diagnosis content and the traditional Chinese medicine compatibility set of the new prescription into a traditional Chinese medicine prescription record set, and increases the number of the prescriptions by 1 in the prescription record set which is the same as the diagnosis content and the traditional Chinese medicine compatibility set. The method has the advantages that a traditional Chinese medicine prescription data set is maintained in advance, the traditional Chinese medicine prescription data set is updated immediately after prescription is issued each time, the traditional Chinese medicine prescription data set does not need to be generated during each search query, and the operation amount and the operation time are greatly saved.
Example 2
S101: receiving a traditional Chinese medicine prescription recommendation request, finishing information acquisition of sex, age, diagnosis content and the like of a prescription to be recorded, wherein characteristic word information of the prescription is [ women, 27, (lower abdomen pain, irregular menstruation and lower abdomen fullness) ].
S102: it is determined whether the diagnostic content is a standard symptom set. The diagnostic content (lower abdominal pain, irregular menstruation and lower abdominal fullness) is segmented into phrases "lower abdominal pain", "irregular menstruation" and "lower abdominal fullness" through separating symbols, all the phrases can search 100% matched symptom words in a standard symptom set dictionary, the diagnostic content is a standard symptom set, and the method directly enters step S104.
S104: and inquiring the matched prescription from the preprocessed traditional Chinese medicine prescription record set according to the search condition. The search conditions at this time are, in order of priority, diagnosis content, sex, age:
(1) the prescription with the same symptoms (lower abdominal pain, irregular menstruation and lower abdominal fullness) is intensively searched from the traditional Chinese medicine prescription record according to the diagnosis content, and the total number of the prescription is 12 (lower abdominal stasis removing decoction, angelica sinensis and white peony powder, … …), wherein the prescription of the lower abdominal stasis removing decoction is the largest and 22, namely the prescription is used 22 times according to the same symptoms, and the compatibility of the traditional Chinese medicines is as follows: fennel (seven grains), dried ginger (0.6g), corydalis tuber (3g), cinnamon (3g), myrrh (3g), hemlock parsley (3g), fried red peony root (6g), trogopterus dung (6g), cattail pollen (9g) and angelica (9 g).
The number of the prescriptions of the angelica and white peony powder is 19, and the compatibility of the traditional Chinese medicines is as follows: chinese angelica root (10g), root of herbaceous peony (15g), prepared rhizome of Sichuan lovage (5g), white atractylodes rhizome (15g), poria cocos wolf (15g), oriental water plantain rhizome (10g), Siberian solomonseal rhizome (10g) and licorice root (10 g).
(2) And (4) screening the female according to the gender in the result set of the previous step, wherein the result is not changed after screening.
(3) Further screening the prescription according to the age, wherein the screening range is 27 multiplied by 0.8 or more and the age is less than or equal to 27 multiplied by 1.2. After screening, 9 prescriptions (angelica and peony powder, shaoyouzhuyu decoction, … …) are provided in total, wherein the number of the prescriptions of the angelica and peony powder is the largest, the prescription is 18, and the compatibility of the traditional Chinese medicines is as follows: chinese angelica root (10g), root of herbaceous peony (15g), prepared rhizome of Sichuan lovage (5g), white atractylodes rhizome (15g), poria cocos wolf (15g), oriental water plantain rhizome (10g), Siberian solomonseal rhizome (10g) and licorice root (10 g).
The number of the prescription of the 'shaoyouzhuyu decoction' is 17, and the compatibility of the traditional Chinese medicines is as follows: fennel (seven grains), dried ginger (0.6g), corydalis tuber (3g), cinnamon (3g), myrrh (3g), hemlock parsley (3g), fried red peony root (6g), trogopterus dung (6g), cattail pollen (9g) and angelica (9 g).
S105: and recommending the query results to the user in an ordered manner.
The query results are sorted from more to less according to the number of the prescriptions, and the sorted results are as follows: the angelica and peony powder, the shaoyao Zhuyu Tang, … …, are recommended to the doctor and user in turn.
S106: and updating to the traditional Chinese medicine prescription data set according to the recommended prescription selected by the user or the new prescription input by the doctor.
Monitoring that a doctor user finally selects a traditional Chinese medicine compatibility set of 'lower abdomen stasis removing decoction' to enter a new prescription to be recorded, entering the new prescription into a traditional Chinese medicine prescription data set, and adding 1 to the execution of the number of prescriptions in the prescription record set which is the same as the diagnosis content (lower abdomen pain, irregular menstruation and lower abdomen fullness) and the traditional Chinese medicine compatibility set (lower abdomen stasis removing decoction).
Example 3
S101: receiving a traditional Chinese medicine prescription recommendation request, finishing the sex, age and diagnosis content of the prescription to be recorded, wherein the characteristic word information of the prescription is [ women, 27 (menstrual cycle disorder in two months, abdominal fullness feeling in normal times and abdominal pain in menstrual period) ].
S102: it is determined whether the diagnostic content is a standard symptom set. The diagnostic content (menstrual cycle disorder in two months, abdominal fullness feeling in normal times and abdominal pain in the menstrual period) is segmented into phrases "menstrual cycle disorder in two months", "abdominal fullness feeling in normal times" and "abdominal pain in the menstrual period" by separating symbols, and these phrases cannot find 100% matched symptom words in the standard symptom set dictionary and need to be converted into the standard symptom set.
S103: generating standard symptom set after identifying diagnosis content
Since the diagnosis content is not a standard symptom set, the diagnosis content needs to be matched with the standard symptom set after being segmented by the following steps:
(1) segmenting symptom formation phrases of the diagnosis content;
the diagnostic contents (menstrual cycle disorder in the last two months, abdominal fullness feeling in normal times, abdominal pain in the lower part of the menstrual period) were divided into phrases "menstrual cycle disorder in the last two months", "abdominal fullness feeling in normal times", "abdominal pain in the lower part of the menstrual period" by dividing symbols.
(2) Dividing the phrases into symptom words by Chinese word segmentation, and combining;
after Chinese word segmentation, words which are irrelevant to symptoms are discarded, and simultaneously, the combination of nouns and verbs or nouns and adjectives is added to form symptomatic words. The menstrual cycle disorder in two months is divided into 'menstruation', 'cycle' and 'disorder', and the 'menstrual disorder' is increased after combination; the feeling of fullness in the abdomen at ordinary times is divided into 'abdomen' and 'fullness', and the 'abdomen fullness' is increased after combination; the pain of the lower abdomen during the menstrual period is divided into menstrual period, lower abdomen and pain, and the pain of the menstrual period and the pain of the lower abdomen are increased after combination.
(3) Matching the symptom words with the dictionary into standard symptoms through a neural network algorithm;
and (3) associating and mapping each group of symptom words obtained in the last step to symptom words in the standard symptom set dictionary through a neural network algorithm, wherein each word can be mapped to a plurality of symptom words, and 2 words with the highest matching degree are selected as irregular menstruation, lower abdominal fullness and pain and lower abdominal pain.
(4) Combining and de-duplicating to form a standard symptom set;
standard symptom sets were formed after combined deduplication: (irregular menstruation, lower abdominal distension, lower abdominal pain).
The subsequent steps are performed in sequence according to steps S104, S105, and S106 in embodiment 2, and are not described again.
The above-mentioned embodiments only express the specific embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (6)
1. A traditional Chinese medicine prescription recommendation sorting method based on data matching is characterized by comprising the following steps:
receiving a traditional Chinese medicine prescription recommendation request;
judging whether the diagnosis content in the traditional Chinese medicine prescription is a standard symptom set;
if the diagnosis content is not the standard symptom set, identifying the diagnosis content to generate the standard symptom set, inquiring matched prescriptions from a preprocessed traditional Chinese medicine prescription record set according to search conditions, sequencing and recommending inquiry results to a user, and updating the traditional Chinese medicine prescription data set according to recommended prescriptions selected by the user or new prescriptions input by a doctor;
if the diagnosis content is a standard symptom set, inquiring a matched prescription from a preprocessed traditional Chinese medicine prescription record set according to a search condition, sequencing and recommending an inquiry result to a user, and updating the recommended prescription selected by the user or a new prescription input by a doctor to the traditional Chinese medicine prescription data set;
wherein, the search condition is at least diagnosis content, and the search is preferentially carried out according to the diagnosis content;
wherein identifying the diagnosis generates a standard symptom set, comprising:
segmenting symptom formation phrases of the diagnostic content; dividing the phrases into symptom words by Chinese word segmentation, and combining; matching the symptom words with a standard symptom set dictionary to form standard symptoms through a neural network algorithm; combining and de-duplicating to form a standard symptom set;
wherein the preprocessed TCM prescription record set is formed by the following steps:
classifying according to different diagnosis contents, and classifying the prescriptions with the same diagnosis content into one class;
further classifying the prescriptions with the same diagnosis content according to the traditional Chinese medicine compatibility set, and counting the number of the prescriptions of each class.
2. The method of claim 1, wherein the determining step determines whether the diagnostic content of the prescription is a standard symptom set by segmenting the diagnostic content into phrases by separating symbols, matching the phrases with a pre-stored dictionary of standard symptom sets, and determining that the diagnostic content is a standard symptom set if the phrases are completely matched.
3. The data matching-based recommendation and ranking method for chinese medical prescriptions of claim 2 wherein the diagnostic content is segmented into phrases by separation symbols, using segmentation based on punctuation marks.
4. The method of claim 1, wherein the search criteria further includes gender and/or age, wherein the age is a further expanded search range according to the patient's age, and is: the age of the patient is more than or equal to 0.8 and less than or equal to 1.2.
5. The method of claim 1, wherein the query results are ranked and recommended to the user by ranking the target prescription records in descending order according to the number of prescriptions.
6. The data matching-based recommendation and ordering method for traditional Chinese medicine prescriptions according to claim 1, wherein the recommended prescriptions selected by the user or the new prescriptions entered by the doctor are updated to a data set of traditional Chinese medicine prescriptions, specifically, the diagnostic content and the compatibility set of traditional Chinese medicines of the new prescriptions are recorded in a traditional Chinese medicine prescription record set, and the number of prescriptions is increased by 1 in a prescription record set which is the same as the diagnostic content and the compatibility set of traditional Chinese medicines.
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| CN117216131A (en) * | 2023-11-07 | 2023-12-12 | 深圳市前海蛇口自贸区医院(深圳市南山区蛇口人民医院) | Traditional Chinese medicine data management system based on data retrieval |
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