CN110752015A - Intelligent classification and marking system and method applied to medical field - Google Patents
Intelligent classification and marking system and method applied to medical field Download PDFInfo
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- 206010003658 Atrial Fibrillation Diseases 0.000 description 15
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Abstract
The application discloses apply to medical field's intelligent classification and mark system includes: the system comprises a database, at least one intelligent condition and an intelligent module which are linked with the Internet. The database at least comprises first physiological information and a plurality of first selection items corresponding to the first physiological information. The intelligent condition at least comprises a first condition corresponding to the first physiological information. The intelligent module transmits first physiological information and the first selected items to a plurality of first markers from the outside according to a first condition, and judges whether the sum of scores of the first markers for marking the highest-score selected items in the first selected items meets the first condition or not, wherein when the sum of scores of the first markers for marking the highest-score selected items in the first selected items meets the first condition, the first physiological information is marked as the highest-score selected items. In addition, the invention further comprises an intelligent classification and marking method applied to the medical field.
Description
Technical Field
The present application relates to an intelligent classification and labeling system and method, and more particularly, to an intelligent classification and labeling system and method applied to the medical field.
Background
The labeling of physiological information (e.g., electrocardiogram) in a conventional medical system is usually performed by a panel of experts (e.g., 3 experts), wherein the physiological information may be accompanied by a plurality of selection items for the experts to label (e.g., check). For 1,000 physiological information, each expert needs to mark 1,000 times.
The conventional marking mode is marked by a few experts, and has stability in judgment, however, has the following disadvantages,
firstly, the method comprises the following steps: as described above, for 1,000 pieces of physiological information, each expert needs to mark 1,000 times, which takes 1,000 judgment steps, and the efficiency is quite poor.
Secondly, the method comprises the following steps: the quantity of the marks required by each expert is large, and besides the experts are quite heavy and redundant, the judgment accuracy of the marks is easy to make mistakes along with the heavy and redundant loads and the overlong working hours.
Thirdly, the method comprises the following steps: due to the fact that a few experts have different sensitivities and familiarity with various physiological information, and the judgment accuracy is prone to be wrong under the condition that the number of people is too small. Taking three experts as an example, the accuracy of the judgment is affected as long as two people judge the error.
In view of the problems of the conventional labeling mode, the present invention provides an intelligent classification and labeling system and method applied in the medical field to solve the above problems.
Disclosure of Invention
The invention provides an intelligent classification and marking system applied to the medical field, which comprises: the system comprises a database, at least one intelligent condition and an intelligent module which are linked with the Internet. The database at least comprises first physiological information and a plurality of first selection items corresponding to the first physiological information. The intelligent condition at least comprises a first condition corresponding to the first physiological information. The intelligent module transmits first physiological information and the first selected items to a plurality of first markers from the outside according to a first condition, and judges whether the sum of scores of the first markers for marking the highest-score selected items in the first selected items meets the first condition or not, wherein when the sum of scores of the first markers for marking the highest-score selected items in the first selected items meets the first condition, the first physiological information is marked as the highest-score selected items.
And if the sum of the scores of the selected items with the highest scores of the first selected items marked in the first marked persons can not meet the first condition, the intelligent module sends the first physiological information and the first selected items to a plurality of first external added markers. When the sum of the scores of the first marker and the first additional marker for marking the highest-score selected item in the first selected items meets a first condition, the first physiological information is marked as the added highest-score selected item.
The intelligent conditions further include a second condition …, etc. and when all of the intelligent conditions are met, the intelligent module provides bonus information for the first plurality of the most highly marked selected items in each of the conditions.
In addition, the invention further comprises an intelligent classification and marking method applied to the medical field.
The invention further provides an intelligent classification and marking method applied to the medical field, which comprises the following steps:
s1: a database linked with the Internet is provided, and the database at least comprises first physiological information and a plurality of first selection items corresponding to the first physiological information.
S2: providing at least one intelligent condition, wherein the intelligent condition at least comprises a first condition corresponding to the first physiological information.
S3: providing an intelligent module, and transmitting the first physiological information and the first selected items to a plurality of first markers from the outside by the intelligent module according to a first condition.
S4: judging whether the sum of the scores of the first marked items marked with the highest score meets a first condition, wherein if yes, the step S5 is executed.
S5: and judging whether all the conditions in the intelligent conditions are met. If yes, the process proceeds to step S6, and if not, the process returns to step S1 to continue with other unfinished conditions.
S6: the bonus information is awarded. When all of the conditions in the intelligent condition are met, bonus award information is provided for the first plurality of the most highly scored selected items in each of the conditions, respectively.
The invention is applied to the intelligent classification and marking system and method in the medical field, and has the main advantages of high operation efficiency and high judgment accuracy of physiological information.
Drawings
FIG. 1 is a schematic diagram of an intelligent classification and labeling system for use in the medical field according to the present invention;
FIG. 2 is a diagram illustrating first physiological information and first selection items received by the first markers of FIG. 1;
FIG. 3 is a schematic diagram of an intelligent classification and labeling system used in the medical field according to another embodiment of the present invention;
FIG. 4 is a diagram illustrating second physiological information and second selection items received by the second markers of FIG. 3;
FIG. 5 is a schematic diagram of an intelligent classification and labeling system used in the medical field according to another embodiment of the present invention; and
fig. 6 is an intelligent classification and labeling method applied to the medical field.
Detailed Description
The present application discloses an intelligent classification and labeling system applied in the medical field, and the related block chain technical solution is obvious to those skilled in the art, so the following embodiments are not described again, and only some contents related to the present invention are mentioned. The drawings corresponding to the embodiments are only for the purpose of illustrating the features and meanings related to the present invention, and will be described in advance.
Referring to fig. 1, fig. 1 is a schematic diagram of an intelligent classification and labeling system 10 applied in the medical field. The intelligent classification and marking system 10 applied to the medical field comprises a database 11 linked with the internet 6, at least one intelligent condition 12 and an intelligent module 13. The medical field may be, but is not limited to, medical treatment, nursing care, medical research, health care …, and all those related to the medical field are within the scope of the medical field of the present invention. For the present embodiment, the database 11 is part of the blockchain scheme, and the intelligent condition 12 is located on a first block B1. The intelligent module 13 is electrically connected to the database 11 and the first block B1. In other embodiments (not shown), the first block may be a portion of a database.
The database 11 at least includes a first physiological information 111 and a plurality of first selections 112 corresponding to the first physiological information 111. For the present embodiment, the first physiological information 111 is an ECG physiological message, and the plurality of first selection items 112 are a Normal (Normal) selection item, an Atrial fibrillation (Atrial flute) selection item, a Premature Ventricular Contraction (PVC) selection item, and an Unrecognizable (Unrecognizable) selection item, as shown in fig. 2 (described in detail later).
The intelligent condition 12 at least includes a first condition 121 corresponding to the first physiological information 111, and the intelligent module 13 transmits the first physiological information 111 and the first selected items 112 to a plurality of first external markers 50 according to the first condition 121 of the intelligent condition 12 of the first block B1. The first condition 121 includes a condition a and a condition B, and is as follows:
condition a: the number of the first markers 50 is greater than or equal to X, wherein X is a positive integer. For the present embodiment, X is 15, i.e. the number of the first markers 50 is greater than or equal to 15.
Condition B: the sum of the scores of the first markers 50 that mark the highest-ranked selected item of the first selected items 112 is greater than or equal to Y times the sum of the scores of the first markers 50 that mark the next-highest selected item of the first selected items 112, where Y is a positive number. For the present embodiment, Y is 2. Moreover, each of the first markers 50 represents a score, and the intelligent module 13 determines whether the sum of the scores of the first markers 50 marking the highest-score selection items 112 of the first selection items meets the first condition 121. For the present embodiment, when the first marker 50 is a doctor, the score represented by the first marker is 2; and when the first marker 50 is a professional, it represents a score of 1.
Referring to fig. 2, fig. 2 is a schematic diagram illustrating the first physiological information 111 and the first selection items 112 received by the first markers 50 of fig. 1. The first physiological information 111 and the first selection items 112 can be presented to the first markers 50 through, for example, a frame 16, i.e., the frame 16 includes the first physiological information 111 and the first selection items 112. The first markers 50 mark one of the normal selection, the atrial fibrillation selection, the premature ventricular contraction selection and the unidentifiable selection on the window 16 for return.
The intelligent module 13 determines whether the sum of the scores of the first selected items 112 marked by the first markers 50 matches the first condition 121 according to the information (e.g., the window 16) returned by the first markers 50. When the sum of the scores of the first markers 50 marking the highest-scoring items 112 of the first selection items meets the first condition 121, the first physiological information 111 is marked as the highest-scoring item.
However, if the sum of the scores of the first selected items 112 marked by the first markers 50 fails to satisfy the first condition 121, the intelligent module 13 sends the first physiological information 111 and the first selected items 112 to a plurality of external first sending markers 51. When the sum of the scores of the first markers 50 and the first forwarding markers 51 marking the top-ranked items of the first selected items 112 meets the first condition 121, the first physiological information 111 is marked as the forwarded top-ranked items. In other embodiments (not shown), the "random transmission" or "return" can be performed by a chat robot such as WeChat, Line, Msn, Skype …, but not limited thereto, so as to increase the convenience of operation and recycling efficiency.
Further referring to table 1, table 1 is a record table of the present embodiment. In this embodiment, the intelligent module 13 is randomly sent to 10 doctors and 5 professionals. Wherein 7 doctors mark atrial fibrillation selection items, and 3 doctors mark selection items which cannot be identified; and 2 professionals mark normal items, while 3 professionals mark no recognizable selected items.
(Table 1: record Table of the present embodiment)
Since the condition B of the first condition 121 of the intelligent condition 12 of this embodiment is that the sum of the scores of the first markers 50 marking the highest-ranked selected item of the first selected items 112 is greater than or equal to 2 times the sum of the scores of the first markers 50 marking the next-highest-ranked selected item of the first selected items 112. As can be seen from Table 1, the total score for the highest ranked option plus the total atrial fibrillation option is 14 scores, while the total score for the next highest ranked option plus the total unidentifiable option is 9 scores, which does not match condition B by a factor of 2. The intelligent module 13 randomly sends the further first physiological information 111 and the first selected items 112 to the first additional markers 51 from the outside. The first firing markers 51 mark one of the normal selection, the atrial fibrillation selection, the premature ventricular contraction selection, and the unidentifiable selection for return.
The intelligent module 13 of the present embodiment randomly sends the information to a plurality of first adding and marking persons 51 from the outside, wherein regarding the condition a1 and the condition B1 of the first adding and marking persons 51, for the present embodiment, the number and the mark score of the first adding and marking persons 51 are directly added to the original condition a and the original condition B. In other embodiments, condition a1 and condition B1 may be partially or completely different from original condition a and condition B. For convenience of explanation, the conditions a1 and B1 in this embodiment are as follows:
condition a 1: the total number of the first markers 50 and the first additional markers 51 is greater than or equal to X, wherein X is a positive integer. For the present embodiment, X is 15, that is, the total number of the first markers 50 and the first additional markers 51 is greater than or equal to 15.
Condition B1: the sum of the scores of the first markers 50 and the first adding markers 51 marking the highest selected item in the first selected items 112 is greater than or equal to Y times the sum of the scores of the first markers 50 and the first adding markers 51 marking the next highest selected item in the first selected items 112, where Y is 2 in this embodiment. In other embodiments (not shown), condition B and (/ or) Y of condition B1 can be a positive number such as 1.2, 1.5, 3 …; in another embodiment (not shown), the condition B and/or the condition B1 is satisfied after the sum of the scores of the highest ranked items reaches a predetermined score, i.e. the condition B and/or the condition B1 is satisfied, or the sum of the scores of the highest ranked items is higher than the sum of the scores of all other selected items, but not limited thereto, and all conditions that the sum of the scores of the highest ranked items and the related operations thereof are used as the determination conditions belong to the scope that the sum of the scores of the highest ranked items satisfies the first condition, the second condition …, and the like.
Also, each first plus marker 51 represents a score. In the present embodiment, when the first additional marker 51 is a doctor, the score represented by it is 2; and when the first addition marker 51 is a professional, it represents a score of 1. The professional may be, but is not limited to, a professor, a student, a researcher, a caregiver …, etc. with a medical background. In other embodiments (not shown), the first marker or the first additional marker may be a doctor and a professional, wherein the representative score of both the doctor and the professional may be 1, or the representative score of the doctor is 1.5, and the representative score of the professional is 1, or the representative score of the doctor is 1, and the representative score of the professional is 0.75, but not limited thereto, as long as the representative score is positive, and the present invention is within the scope of the present invention. In other embodiments, the first marker or the first additional marker may be a doctor, a professor, a student, and a researcher, and each has a different representative score.
Further referring to table 2, table 2 is an issue record table of this embodiment. In the present embodiment, the intelligent module 13 is randomly added to 9 doctors and 6 professionals. Wherein 7 doctors mark atrial fibrillation selection items, and 2 doctors mark selection items which cannot be identified; and 1 professional marking normal items, 3 professionals marking atrial fibrillation selection items, and 2 professionals marking unidentifiable selection items.
(TABLE 2 Hair-filling record table of this example)
The intelligent module 13 determines, according to the information (e.g. the window 16) returned by the first adding and sending markers 51, that the sum of the scores of the first markers 50 and the highest-ranked selected items among the first selected items 112 marked by the first adding and sending markers 51 is greater than or equal to 2 times the sum of the scores of the first markers 50 and the second highest-ranked selected items among the first selected items 112 marked by the first adding and sending markers 51. As can be seen from table 2, the total score of the highest-ranking selection item plus the total atrial fibrillation selection item has a score of 31, and the total score of the next highest-ranking selection item plus the total unrecognizable selection item has a score of 15, which is 2 times higher than the condition B1 in the present embodiment, and the condition a1 is met, at this time, the first physiological information 111 is marked as the highest-ranking selection item, that is, the first physiological information 111 is marked as the atrial fibrillation selection item.
Referring to fig. 3, fig. 3 is a schematic diagram of an intelligent classification and labeling system 20 applied in the medical field according to another embodiment of the present invention. The intelligent classification and marking system 20 used in the medical field of the present invention comprises a database 11 linked to the internet 6, at least one intelligent condition 12 and an intelligent module 13. For the present embodiment, similar to the embodiment described in fig. 1 and fig. 2, only the main differences of the present embodiment are described, and the description of the same or similar parts is omitted.
The database 11 linked to the internet 6 further includes an nth physiological information and a plurality of nth selections corresponding to the nth physiological information, where N is {2,3, … N }, N is a set, and N is an integer greater than 1. In the present embodiment, N is {2}, in other words, the database 11 further includes a second physiological information 113 and a plurality of second selected items 114 corresponding to the second physiological information 113. The second physiological information 113 is an ECG physiological message, and the plurality of second selection items 114 are a Normal (Normal) selection item, an Atrial fibrillation (Atrial flute) selection item, a Premature Ventricular Contraction (PVC) selection item, and an Unrecognizable (Unrecognizable) selection item, as shown in fig. 4 (described in detail later). Regarding the first selection items 112, the second selection items 114 …, etc., more than two (including) suitable selection items, such as a normal selection item, an atrial fibrillation selection item, an early ventricular contraction selection item, and an unrecognizable selection item, can be selected from the database 11 by the intelligent module 13 according to the physiological information (such as the first physiological information 111, the second physiological information 113 …, etc.). In other embodiments (not shown), the conditions (e.g., the first condition 121, the second condition 122 …, etc.) may also include information of two or more suitable selection items, and the suitable selection items are selected from the database 11 according to the information of the two or more suitable selection items.
In other embodiments (not shown), the first physiological information … and the second physiological information … can be ECG physiological information, or physiological information such as voltage information, pulse waveform, body temperature …, but not limited thereto, and all related physiological information that can be used in the medical field fall within the scope of the first physiological information … and the second physiological information …. In other embodiments (not shown), N is {2,3}, i.e. the database includes a second physiological information and a third physiological information, or N is {2,3,4}, i.e. the database includes a second physiological information, a third physiological information and a fourth physiological information, but not limited thereto.
The intelligent condition 12 further includes an nth condition corresponding to the nth physiological information, and the intelligent module 13 transmits the nth physiological information and the nth selected items to a plurality of nth markers from the outside according to the nth condition. In the present embodiment, N is {2}, that is, the smart condition 12 further includes a second condition 122 corresponding to the second physiological information 113, and the smart module 13 transmits the second physiological information 113 and the second selection items 114 to the plurality of second external markers 52 according to the second condition 122. The second condition 122 includes a condition D and a condition E, and is as follows:
condition D: the number of the second markers 52 is greater than or equal to X, wherein X is a positive integer. For the present embodiment, X is 15, that is, the number of the second markers 52 is greater than or equal to 15;
condition E: the sum of the scores of the second markers 52 that mark the highest selected item of the second selected items 114 is greater than or equal to Y times the sum of the scores of the second markers 52 that mark the next highest selected item of the second selected items 114, where Y is a positive number. For the present example, Y is 2; moreover, each of the second markers 52 represents a score, and the intelligent module 13 determines whether the sum of the scores of the second markers 52 marking the highest-scoring selected item of the second selected items 114 meets the second condition 122. For the present embodiment, when the second marker 52 is a doctor, the score represented by it is 2; and when the second marker 52 is a professional, it represents a score of 1.
Referring to fig. 4, fig. 4 is a schematic diagram illustrating the second physiological information 113 and the second selection items 114 received by the second markers 52 of fig. 3. The second physiological information 113 and the second selection items 114 can be displayed to the second markers 52 through, for example, a frame 17, i.e., the frame 17 includes the second physiological information 113 and the second selection items 114. The second markers 52 mark one of the normal selection, the atrial fibrillation selection, the premature ventricular contraction selection and the unidentifiable selection on the window 17 for return.
The intelligent module 13 determines whether the sum of the scores of the nth selected items marked by the nth marker meets the nth condition according to the information returned by the nth marker. When the sum of the scores of the highest-score selected items marked in the Nth selected items among the Nth markers meets the Nth condition, the Nth physiological information is marked as the highest-score selected item. In the present embodiment, N is {2}, that is, the intelligent module 13 determines whether the sum of the scores of the second markers 52 marking the highest-scoring selected item of the second selected items 114 matches the second condition 122 according to the information (e.g., the form 17) returned by the second markers 52. When the sum of the scores of the second markers 52 marking the highest-scoring items 114 meets the second condition 122, the second physiological information 113 is marked as the highest-scoring item.
Further referring to table 3, table 3 is a record table of the present embodiment. In this embodiment, the intelligent module 13 is randomly sent to 10 doctors and 5 professionals. Wherein 10 doctors mark atrial tremor selection items; and 2 professionals marked normal items and 3 professionals marked atrial fibrillation selection items.
(Table 3: record sheet of this example)
As can be seen from table 3, the sum of the scores of the highest-ranking selected items and the atrial fibrillation selected items is 23, while the sum of the scores of the second highest-ranking selected items and the normal selected items is only 2, which exceeds 2 times of the condition E of this embodiment, and the condition D is also met, so that the second physiological information 113 is marked as the highest-ranking selected item, that is, the second physiological information 113 is marked as the atrial fibrillation selected item.
When all the conditions in the intelligent condition 12 are met, the intelligent module 13 provides the bonus money distribution information for the first plurality of the first markers 50 that mark the highest-ranking selected item in the first selected items 112, and the intelligent module 13 provides the bonus money distribution information for the first plurality of the nth markers that mark the highest-ranking selected item in the nth selected items (in this embodiment, N is {2}, that is, the second markers 52 that mark the second selected items 114). Providing bonus information by replying to the top plurality of top scoring items most quickly will help those markers (e.g., first marker 50, first bonus marker 51, second marker 52 …, etc.) to win bonus money, thereby increasing participation willingness and accuracy of the marking.
The present embodiment provides bonus information to the top plurality of the most highly scored items in each of the smart conditions 12 when all of the conditions are met. In other embodiments (not shown), the bonus information may be provided when a single condition is met, i.e. the bonus information is provided, or when a plurality of conditions are met, i.e. the bonus information is provided, or all of the plurality of intelligent conditions are met, but not limited thereto.
It should be noted that, the intelligent module 13 transmits/adds the physiological information (e.g. the first physiological information 111, the second physiological information 113, 113 …, etc.) and the plurality of selected items (e.g. the first selected items 112, the second selected items 114 …, etc.) according to the conditions (e.g. the first condition 121, the second condition 122, 122 …, etc.) and randomly sends the physiological information and the plurality of selected items to the external markers (e.g. the first marker 50, the first adding marker 51, the second marker 52 …, etc.), this part of the information is sent to the intelligent module 13 to randomly select a plurality of markers according to the conditions, the same marker may receive one physiological information and the plurality of selected items, but may also receive more than one physiological information and the plurality of selected items, but the intelligent module 13 may avoid sending the excessive physiological information or the related physiological information in an intelligent condition to the same marker as much as possible, to avoid excessive outflow of information or access by competitors.
The embodiment of the present invention described in fig. 1-4 mainly integrates the intelligent classification and marking system (10, 20) of the present invention with the block chain scheme, and generates continuous blocks (such as the first block B1 …, etc.), and links with the previous block after completing the recording, so that the present invention has the characteristics of non-falsification and good encryption and decryption effects. Of course, the intelligent classification and tagging systems (10, 20) of the present invention need not be integrated with blockchain solutions, such as the currently known distributed database processing information systems or the cloud computing system … for processing information in distributed databases. The cloud computing system applied to the distributed database processing information system or the distributed database processing information system is already obvious to those skilled in the art, so that the following embodiments are not described again, and only some contents related to the present invention are mentioned.
Referring to fig. 5, fig. 5 is a schematic diagram of an intelligent classification and labeling system 30 applied in the medical field according to another embodiment of the present invention. The intelligent classification and marking system 30 of the present invention used in the medical field comprises a database 11 linked to the internet 6, at least one intelligent condition 12 and an intelligent module 13. For the present embodiment, similar to the embodiment described in fig. 1 to fig. 4, only the main differences of the present embodiment are described, and the description of the same or similar parts is omitted.
The intelligent classification and labeling system 30 of the present embodiment is not integrated with the block chain solution, but integrated with the cloud computing system solution that processes information using a distributed database, and therefore, the present embodiment may not need to use the first block of the block chain as shown in fig. 1 and 2, and the intelligent condition 12 may not need to be located on the first block. For the present embodiment, the intelligent condition 12 may be disposed in the intelligent classification and labeling system 30 and in an embodiment thereof (not shown), or may be disposed in the database 11, but not limited thereto. As for the intelligent classification and marking system 30 of the present embodiment, the implementation means and the content of the intelligent classification and marking systems 20 and 30 described in fig. 1 to 4 are the same or similar, and thus are not repeated herein.
Referring to fig. 6, fig. 6 shows an intelligent classification and labeling method applied in the medical field according to the present invention. The method is similar to the implementation means and the contents thereof described in fig. 1 to 5, and the same or similar parts are not repeated. The intelligent classification and marking method applied to the medical field comprises the following steps:
s1: a database linked with the Internet is provided, and the database at least comprises first physiological information and a plurality of first selection items corresponding to the first physiological information.
S2: providing at least one intelligent condition, wherein the intelligent condition at least comprises a first condition corresponding to the first physiological information.
S3: providing an intelligent module, wherein the intelligent module transmits first physiological information and the first selected items to a plurality of first markers from the outside randomly according to a first condition.
S4: whether the sum of the scores of the first selected items marked by the first markers is in accordance with a first condition or not is judged. The intelligent module judges whether the sum of the scores of the first marker marking the highest-score selected item in the first selected items meets a first condition or not, wherein when the sum of the scores of the first marker marking the highest-score selected item in the first selected items meets the first condition, the intelligent module marks the first physiological information as the highest-score selected item; and if the sum of the scores of the selected items with the highest scores of the selected items among the first markers does not meet the first condition, the intelligent module sends the first physiological information and the first selected items randomly to a plurality of first additional markers from the outside, and if the sum of the scores of the selected items with the highest scores of the selected items among the first markers and the first additional markers meets the first condition, the intelligent module marks the first physiological information as the added selected items with the highest scores.
S5: and judging whether all the conditions in the intelligent conditions are met. If yes, the process proceeds to step S6, and if not, the process returns to step S1 to continue with other unfinished conditions.
S6: the bonus information is awarded. When all of the conditions in the intelligent condition are met, bonus award information is provided for the first plurality of the most highly scored selected items in each of the conditions, respectively.
In summary, the intelligent classification and labeling system and method applied in the medical field of the present invention have the following advantages in addition to the advantages described in the foregoing embodiments:
1. according to the intelligent classification and labeling system and method, the plurality of physiological information can be respectively sent to the plurality of label groups (such as the first markers, the second markers … and the like), and the respective label groups label and return the respective physiological information. Compared with the conventional system and method for intelligently classifying and marking each expert by one stroke, the system and method for intelligently classifying and marking the characters of the invention are very efficient.
2. Because the same marker can receive a single physiological message or a few physiological messages, the marker is not like the redundancy load of the conventional experts, and is more likely to avoid the situation of easy error caused by redundancy load and overlong working hours.
3. By using most doctors, professors, students, researchers, nursing staff …, etc. with medical backgrounds, the majority of markers perform marking, and the score summation of the highest score selected item and the related operation thereof are used as the judgment condition, so that the problem that a few experts may influence the judgment accuracy in the prior art is improved, and the judgment accuracy of the physiological information is increased.
The detailed description is specific to one possible embodiment of the invention, but the embodiment is not intended to limit the scope of the invention, and equivalent implementations or modifications without departing from the technical spirit of the invention should be included in the scope of the invention.
Claims (10)
1. An intelligent classification and labeling system for use in the medical field, comprising:
the method comprises the steps that a database of the internet is linked, and the database at least comprises first physiological information and a plurality of first selection items corresponding to the first physiological information;
at least one intelligent condition, which at least comprises a first condition corresponding to the first physiological information; and is
An intelligent module, which transmits the first physiological information and the first selected items to a plurality of first markers from the outside according to the first condition, and judges whether the sum of scores of the first markers marking the highest-score selected item in the first selected items meets the first condition or not,
when the sum of the scores of the first selected items marked by the first marker meets the first condition, the first physiological information is marked as the highest-score selected item.
2. The intelligent classification and labeling system of claim 1, comprising: the first condition includes that the number of the first markers is more than or equal to X, and the sum of the scores of the first markers for marking the highest-ranked selected item in the first selected items is more than or equal to Y times of the sum of the scores of the first markers for marking the second highest-ranked selected item in the first selected items, wherein X is a positive integer and Y is a positive number.
3. The intelligent classification and labeling system of claim 1, comprising: each first marker represents a score, and the intelligent module judges whether the sum of the scores of the first markers marking the highest-score selected item in the first selected items meets the first condition or not.
4. The intelligent classification and labeling system of claim 1, comprising: when the sum of the scores of the highest-ranking selected items among the first selected items marked by the first markers cannot meet the first condition, the intelligent module sends the first physiological information and the first selected items to a plurality of first additional markers from the outside, and when the sum of the scores of the highest-ranking selected items among the first selected items marked by the first markers and the first additional markers meets the first condition, the intelligent module marks the first physiological information as the highest-ranking selected items after the addition.
5. The intelligent classification and labeling system of claim 1, comprising:
the database linked with the Internet further comprises Nth physiological information and a plurality of Nth selection items corresponding to the Nth physiological information;
the intelligent condition further comprises an Nth condition corresponding to the Nth physiological information; and is
The intelligent module transmits the Nth physiological information and the Nth selected items to a plurality of Nth markers from the outside according to the Nth condition, judges whether the sum of scores of the Nth markers marking the highest-score selected items in the Nth selected items meets the Nth condition or not,
when the sum of the scores of the nth marked items marking the highest-score selected item among the nth selected items meets the nth condition, marking the nth physiological information as the highest-score selected item among the nth selected items, wherein N is {2,3, … N }, N is a set, and N is an integer greater than 1.
6. The intelligent classification and labeling system of claim 5, comprising: when all the conditions in the intelligent conditions are in accordance, the intelligent module provides bonus award information for the first plurality of the first markers which mark the highest-score selected item in the first selected items, and the intelligent module provides bonus award information for the first plurality of the Nth markers which mark the highest-score selected item in the Nth selected items.
7. The intelligent classification and labeling system of claim 1, comprising: the database is part of a blockchain solution, and the intelligent condition is located on a first block.
8. An intelligent classification and marking method applied to the medical field is characterized by comprising the following steps:
providing a database linked with the Internet, wherein the database at least comprises first physiological information and a plurality of first selection items corresponding to the first physiological information;
providing at least one intelligent condition, wherein the intelligent condition at least comprises a first condition corresponding to the first physiological information;
providing an intelligent module, wherein the intelligent module transmits the first physiological information and the first selected items to a plurality of first markers from the outside according to the first condition, and the intelligent module judges whether the sum of scores of the first markers marking the highest-score selected items in the first selected items meets the first condition or not; and
when the sum of the scores of the highest-score selected items marked in the first selected items in the first marker meets the first condition, marking the first physiological information as the highest-score selected item.
9. The intelligent classification and labeling method of claim 8, comprising:
when the sum of the scores of the highest-ranking selected items among the first selected items marked by the first markers cannot meet the first condition, the intelligent module sends the first physiological information and the first selected items to a plurality of first additional markers from the outside, and when the sum of the scores of the highest-ranking selected items among the first selected items marked by the first markers and the first additional markers meets the first condition, the intelligent module marks the first physiological information as the highest-ranking selected items after the addition.
10. The intelligent classification and labeling method of claim 8, comprising:
and judging whether all the conditions in the intelligent conditions are met, wherein when all the conditions in the intelligent conditions are met, the first plurality of marked highest-score selection items in each condition of all the conditions are provided with bonus information.
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