CN115376648A - Intelligent prescription generating device and intelligent prescription generating system - Google Patents
Intelligent prescription generating device and intelligent prescription generating system Download PDFInfo
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- CN115376648A CN115376648A CN202211025454.5A CN202211025454A CN115376648A CN 115376648 A CN115376648 A CN 115376648A CN 202211025454 A CN202211025454 A CN 202211025454A CN 115376648 A CN115376648 A CN 115376648A
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Abstract
The invention discloses an intelligent prescription generating device and an intelligent prescription generating system, wherein the intelligent prescription generating device of one embodiment comprises: the data acquisition module is used for acquiring symptom data uploaded by a target patient; the data analysis module is used for determining the constitution syndrome type and symptoms of the target patient according to the symptom data; the prescription matching module is used for selecting a medicine prescription corresponding to the constitution syndrome type and the symptom type from a preset medicine prescription library; the prescription adjustment module is used for adjusting the medicine prescription so as to obtain an intelligent prescription corresponding to the target patient. According to the intelligent prescription device provided by the embodiment of the invention, the data acquisition module receives the symptom data uploaded by the target patient, the data analysis module analyzes the symptom data to determine the physical constitution syndrome type and the symptom, and the prescription matching module and the prescription adjusting module can realize intelligent matching and adjustment of the prescription according to the physical constitution syndrome type and the symptom, so that the prescription matching performance and the prescription generating efficiency are effectively improved.
Description
Technical Field
The present invention relates to the field of disease management systems. And more particularly, to an intelligent prescription generating apparatus and an intelligent prescription generating system.
Background
In the related art, online medical treatment based on the internet enters lives of doctors and patients, and the doctors stay in an internet hospital platform and provide online medical service for the patients by using fragmented time. Generally, when a patient submits an inquiry, a description of the patient's condition is entered, and a history medical record and other materials are uploaded to confirm the patient's condition. In order to understand the patient's condition more fully, doctors often spend a lot of time viewing medical record data, and chat with the patient's pictures and texts or video communication to obtain an accurate diagnosis conclusion. When the prescription is filled, the doctor needs to search the medicines one by one for entering the prescription. Therefore, a great deal of time is needed to finish one-time online diagnosis, the online diagnosis and treatment efficiency is low for doctors and patients, and the online diagnosis and treatment service cannot be conveniently and quickly developed without good medical experience for the patients.
Disclosure of Invention
The invention aims to provide an intelligent prescription generating device and an intelligent prescription generating system, which are used for solving at least one of the problems in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
a first aspect of the present invention provides an intelligent prescription generating apparatus, including:
the data acquisition module is used for acquiring symptom data uploaded by a target patient;
the data analysis module is used for determining the constitution syndrome type and symptoms of the target patient according to the symptom data;
the prescription matching module is used for selecting a medicine prescription corresponding to the constitution syndrome type and the symptom type from a preset medicine prescription library;
and the prescription adjusting module is used for adjusting the medicine prescription so as to obtain an intelligent prescription corresponding to the target patient.
Further, the symptom data comprises character-shaped symptom data and picture-shaped symptom data,
the character pattern symptom data comprise character contents filled by a target patient based on a preset diagnosis question and a digital score;
the picture-shaped symptom data is a picture of a diagnosis part uploaded by a target patient,
wherein the diagnostic question is continuously updated according to the filled-in text content of the target patient.
Further, the data analysis module comprises:
a symptom extraction unit, configured to extract filled-in symptom keywords of the target patient from text contents in the text-form symptom data and the diagnosis question based on a natural language processing technology;
the score calculating unit is used for obtaining a diagnosis score according to the digital score in the character-shaped symptom data and the diagnosis question;
the picture symptom confirmation unit is used for inputting the diagnosis part picture into a trained neural network diagnosis model to obtain a picture symptom;
and the symptom confirmation unit is used for determining the constitution syndrome type according to the diagnosis score and the symptom keyword, determining an accompanying constitution according to the symptom keyword and the diagnosis question, and determining the main symptoms of the target patient according to the constitution syndrome type and the symptom keyword, wherein the correlation between the main symptoms, the diagnosis score and the constitution syndrome type is larger than the correlation between the accompanying constitution, the diagnosis score and the constitution syndrome type.
Further, the prescription matching module comprises:
the constitution syndrome type prescription unit is used for matching constitution syndrome type prescriptions from the medicine prescription library according to the constitution syndrome types;
an indication symptom prescription unit for matching an indication symptom prescription from the drug prescription library according to the indication symptom;
an accompanying constitution prescription unit for matching an accompanying constitution prescription from the medicine prescription library according to the accompanying constitution;
and the picture symptom prescription unit is used for matching the picture symptom prescription from the medicine prescription library according to the picture symptom.
Further, the prescription adjusting module comprises an automatic adjusting unit, which is used for identifying repeated medicines in the constitution syndrome type prescription, the main treatment symptom prescription, the accompanying constitution prescription and the picture symptom prescription, adjusting bad matching items in each prescription, and adjusting the types of the medicines in each prescription and the dosage of the medicines in each prescription according to the symptom data filled by the target patient.
Further, the prescription adjusting module further comprises a manual adjusting unit, which is used for modifying the prescription adjusted by the automatic adjusting unit according to the physical evidence type and symptoms determined by the data analyzing module, and modifying the type and dosage of the medicine according to the symptom data filled by the target patient and the adjusted prescription.
Furthermore, the intelligent prescription generating device further comprises an authority selecting module, which is used for responding to an operation instruction to start the device so as to receive the symptom data transmitted by the data acquisition module, the physique syndrome and symptoms output by the data analysis module, and the medicine prescription output by the prescription matching module, so that the medicine prescription is adjusted.
Further, the neural network diagnostic model comprises
The characteristic extraction network is used for carrying out characteristic extraction on the diagnostic part picture through a plurality of convolution layers to obtain a characteristic image of the diagnostic part picture;
a pooling layer for compressing the feature images;
and the full connection layer is used for classifying the compressed characteristic images and outputting the symptom pictures.
Further, the medicine prescription library comprises a traditional Chinese medicine inheritance knowledge library system, a modern traditional Chinese medicine knowledge and practice database, a traditional Chinese medicine robot diagnosis and treatment case database, a traditional Chinese medicine diagnosis and treatment robot self-learning system database and historical prescription data, and in an optional embodiment, the medicine prescription library comprises a traditional Chinese medicine inheritance knowledge library system, a modern traditional Chinese medicine knowledge and practice database, a traditional Chinese medicine robot diagnosis and treatment case database, a traditional Chinese medicine diagnosis and treatment robot self-learning system database and a historical prescription database;
or alternatively
The diagnostic part picture comprises a picture taken by the target patient or a detection picture of the detection mechanism.
A second aspect of the present invention provides an intelligent prescription generating system, comprising:
at least one intelligent prescription generating device of the first aspect of the invention, and
and the server is used for storing various data of the intelligent prescription generating device and updating the medicine prescription library by using the symptom data and the intelligent prescription.
The invention has the following beneficial effects:
according to the intelligent prescription device provided by the embodiment of the invention, the intelligent prescription is provided for the target patient by utilizing the internet technology, the symptom data uploaded by the target patient is received by the data acquisition module, the data analysis module analyzes the symptom data to determine the constitution syndrome type and the symptom, and the prescription matching module and the prescription adjusting module can realize intelligent matching and adjustment of the prescription according to the constitution syndrome type and the symptom, so that the prescription matching performance and the prescription generating efficiency are effectively improved.
Drawings
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
FIG. 1 shows a schematic block diagram of an intelligent prescription generating apparatus according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating a diagnostic problem according to one embodiment of the present invention;
FIG. 3 shows a schematic structural diagram of a data analysis module of one embodiment of the present invention;
FIG. 4 is a block diagram of a recipe matching module according to one embodiment of the present invention;
FIG. 5 is a block diagram of a recipe adjustment module according to one embodiment of the present invention;
fig. 6 shows a schematic structural diagram of an intelligent prescription generating apparatus according to an embodiment of the present invention.
Detailed Description
In order to more clearly illustrate the present invention, the present invention will be further described with reference to the following examples and the accompanying drawings. Similar parts in the figures are denoted by the same reference numerals. It is to be understood by persons skilled in the art that the following detailed description is illustrative and not restrictive, and is not to be taken as limiting the scope of the invention.
A first embodiment of the present invention provides an intelligent prescription generating apparatus, as shown in fig. 1, including:
the data acquisition module is used for acquiring symptom data uploaded by a target patient;
the data analysis module is used for determining the constitution syndrome type and symptoms of the target patient according to the symptom data;
the prescription matching module is used for selecting a medicine prescription corresponding to the constitution syndrome type and the symptom type from a preset medicine prescription library;
and the prescription adjusting module is used for adjusting the medicine prescription so as to obtain an intelligent prescription corresponding to the target patient.
According to the intelligent prescription device provided by the embodiment of the invention, the intelligent prescription is provided for the target patient by utilizing the internet technology, the symptom data uploaded by the target patient is received by the data acquisition module, the data analysis module analyzes the symptom data to determine the constitution syndrome type and the symptom, and the prescription matching module and the prescription adjusting module can realize intelligent matching and adjustment of the prescription according to the constitution syndrome type and the symptom, so that the prescription matching performance and the prescription generating efficiency are improved. The intelligent prescription generating device provided by the embodiment of the invention can conveniently and efficiently generate the intelligent prescription, greatly shortens the time for doctor-patient communication, improves the efficiency of inquiry, can maximally utilize the time of limited medical resources, and provides online diagnosis and treatment services for more patients.
In an alternative embodiment, the symptom data includes textual symptom data and pictorial symptom data,
as shown in fig. 2, the text-shaped symptom data includes written contents filled by a target patient based on a preset diagnosis question and a numerical score, and the diagnosis question is continuously updated according to the filled written contents of the target patient. Illustratively, the text content includes recording information such as time, name, sex, age, weight, number, and the like for recording. In another example, the text also includes preventive information, such as whether the patient has a past medical history, a past surgical history, allergy information, and tolerance information, to avoid the provided prescription from having an impact on the user. In another specific example, the text content further includes auxiliary diagnosis information, such as intuitive text content such as self symptoms described by the user through the text.
In one specific example, the target patient faces diagnostic questions as shown in fig. 2, which include an accredited type of diagnostic question, for which the user fills in according to the corresponding rules to generate textual symptom data, and a statement type of diagnostic question, for which, for example: "your BMI index = weight (kg)/height 2 (m)]In which range? 1 point when the BMI is less than 24, 2 points when the BMI is less than 25 or less than 24, 3 points when the BMI is less than 26 or less than 25, 4 points when the BMI is less than 28 or less than 26, and 5 points when the BMI is more than or equal to 28. And selecting the corresponding BMI for the target patient according to the self condition and scoring. In one specific example, the score number represents the influence degree of the diagnosis question on the target patient, for example, the higher the score, the worse the target patient performs on the diagnosis question, or the lower the score, the worse the target patient performs on the diagnosis question, or part of the diagnosis question is reverse scoring and the other part of the diagnosis question is forward scoring, so as to ensure that the target patient does not confuse the answer because of too many questions, thereby ensuring the accuracy of the diagnosis question.
In the present embodiment, the diagnostic questions are determined according to the "reference national basic public health service code (third edition)", which includes 33 diagnostic questions, of which 13 are shown as shown in fig. 2. In some specific examples, the version of 33 diagnostic questions further includes: (14) do you get a cold easily? (15) do you get stuffy nose and nasal discharge without a cold? (16) do you have sticky mouth and greasy mouth, or snoring during sleep? (17) Do you easily become allergic (to drugs, food, smell, pollen or during seasonal changes, climatic changes)? (18) do you easily get urticaria from your skin? (including wheal, pimple) (19) do you unknowingly develop purplish ecchymosis and subcutaneous hemorrhage? (it means the case of a purple piece of skin without trauma) (20) red with scratch on your skin? (indicating the reaction of the skin after being scratched by a nail or blunt object) (21) do you look at the skin or lips? (22) Do you have a sensation of numbness in the limbs or pain in the fixed part? (23) Do you have a greasy or shiny finish on the face or nose? (on the face or nose) (24) do you look or tarnish in the eye sockets, or appear as brown patches/spots? (25) do you have eczema of the skin, sores and furuncles? (26) do you feel dry mouth and throat and want to drink water at all? (27) do you feel bitter in the mouth or bad breath? (bitter taste in the mouth or halitosis) (28) do you have enlarged abdomen? (fat in finger and abdomen) (29) do you feel uncomfortable or afraid of eating (drinking) cold things? (does not like to eat cold food or is uncomfortable after eating cold food) (30) do you have a sticky and uncomfortable stool feeling? (feces easily stick to toilet bowl or toilet pit wall) (31) do you easily get dry feces? (32) do you feel thick and greasy or thick coating? (33) do you bruise or thicken the sublingual vein? Based on these diagnostic questions, the constitutional syndrome type of the target patient can be judged by the final score.
In this embodiment, the diagnosis questions are continuously updated according to the written text content of the target patient, for example, the diagnosis questions in the initial version include 33 questions, as the sample of the acquired text symptom data increases, the number of the diagnosis questions increases according to the written text content of the target patient, and exemplarily, a symptom keyword of each text symptom data is extracted based on a natural language extraction technique in the text symptom data, and a new diagnosis question is generated according to the occurrence frequency of the symptom keyword.
In an embodiment of the present invention, the picture-shaped symptom data is a diagnosis part picture uploaded by the target patient, and in an optional embodiment, the diagnosis part picture includes a picture taken by the target patient or a detection picture of the detection mechanism. In this embodiment, the picture-shaped symptom data is used as an auxiliary means of the intelligent prescription generating device, and when the diagnosis part picture is a disease picture taken by the target patient, such as a tongue fur picture, an eye, ear, mouth, nose picture and other facial pictures which can be used for traditional Chinese medicine diagnosis, or an injury picture, such as a leg wound; when the diagnosis part picture is a diagnosis picture before a target patient, such as a detection report of the patient by a hospital, or a detection picture such as an electrocardiogram and a CT picture provided by the hospital, the diagnosis accuracy and the prescription generation efficiency are further improved by the picture symptom data.
In an alternative embodiment, as shown in fig. 3, the data analysis module includes a symptom extraction unit, a score calculation unit, a picture symptom confirmation unit, and a symptom confirmation unit.
In this embodiment, the symptom extraction unit is configured to extract filled-in symptom keywords of the target patient from the text content in the text-form symptom data and the diagnosis question based on a natural language processing technique. Illustratively, if the diagnosis problem includes a sentence-type diagnosis problem, for example, the target patient's self-description of his/her own condition, such as words about symptom description, such as "feel swollen sore throat after sleeping, and accelerated heartbeat", the "swollen sore throat" and "accelerated heartbeat" are extracted as the symptom keywords.
And the score calculating unit is used for obtaining a diagnosis score according to the numerical score in the character-shaped symptom data and the diagnosis question. For example, the target patient may be determined by scoring a plurality of diagnostic questions as shown in figure 2 and finally determining the scoring value.
And the picture symptom confirmation unit is used for inputting the diagnosis part picture into a trained neural network diagnosis model to obtain a picture symptom. In this embodiment, the trained neural network diagnostic model can confirm the input diagnostic part picture, and the output of the neural network diagnostic model is a picture symptom. Illustratively, the picture of the diagnosis part uploaded by the patient is a picture of tongue coating, and the determination of the symptoms of the tongue coating through the neural network diagnosis model comprises the following steps: the first tongue coating symptom, which is marked by pale red tongue with thin and white coating, corresponding to mild nature; the second tongue coating symptom is marked by pale red tongue, swollen tongue with tender edge with teeth marks corresponding to qi deficiency; the third tongue coating symptom: pale tongue with swollen and tender edge with teeth marks and moist tongue coating corresponding to yang deficiency; fourth tongue coating symptom: a red tongue with little fluid and coating corresponding to yin deficiency; fifth tongue coating symptom: swollen tongue with white and greasy coating, corresponding to phlegm-dampness; sixth tongue coating symptom: the red tongue with yellow and greasy coating corresponds to damp-heat syndrome, and the seventh tongue coating symptom: dark or purple lips, dark tongue, flaky ecchymosis, sublingual varicose veins, corresponding to blood stasis, eighth tongue coating symptom: pale red or dark tongue with thin white or dry white greasy coating, corresponding to qi stagnation; ninth tongue coating symptom: the form is various, deep and large cracks and flower peeling can be seen, corresponding to the specific nature, the accuracy of the intelligent prescription is further improved and the diagnosis efficiency is improved by taking the tongue fur picture as a diagnosis part picture.
And the symptom confirmation unit is used for determining the constitution syndrome type according to the diagnosis score and the symptom keyword and determining an accompanying constitution according to the symptom keyword and the diagnosis question, wherein the correlation between the main symptoms and the diagnosis score and the constitution syndrome type is larger than the correlation between the accompanying constitution and the diagnosis score and the constitution syndrome type.
In one specific example, the constitutional syndrome type and the accompanying constitutional constitutions include 9 items, nine types, such as a mild constitution, a qi-deficiency constitution, a yang-deficiency constitution, a yin-deficiency constitution, a phlegm-damp constitution, a damp-heat constitution, a blood stasis constitution, a qi-stagnation constitution, a specific disposition constitution, and the like, which are determined according to a score ranking and a score threshold value.
In one specific example, based on the aforementioned "national basic public health service code (third edition)" diagnostic question, the scored patient's diagnostic score is: 15 grades of qi deficiency, 10 grades of yang deficiency, 8 grades of peaceful grade, 5 grades of yin deficiency, 4 grades of phlegm-dampness, 6 grades of damp-heat, 7 grades of blood stasis, 2 grades of qi depression and 2 grades of specific endowment.
In an alternative embodiment, when the diagnosis score of each constitutions satisfies the predetermined score, the constitutions corresponding to the diagnosis scores satisfying the predetermined score are constitutions syndrome type. That is to say, the symptom confirmation unit of the embodiment of the present application is further configured to determine whether the diagnosis score of each constitution syndrome type satisfies a predetermined score, the constitution satisfying a first predetermined score is the constitution syndrome type, the constitution satisfying a second predetermined score is the accompanying constitution, the first predetermined score is greater than the second predetermined score, and the constitution syndrome type and the accompanying constitution are determined in an order that the first predetermined score is prior to the second predetermined score.
In a specific example, the first predetermined score is 11 points, the second predetermined score is 9-10 points, when the score of qi-deficiency is greater than or equal to 11 points, the qi-deficiency is the constitution syndrome type of the target patient, and the yang-deficiency of the constitution satisfying the second predetermined score is the accompanying constitution.
In one specific example, the symptom confirmation unit is further configured to make the following determination: based on the aforementioned "national basic public health service Specification (third edition)" diagnosis question, when the diagnosis score sum of the diagnosis question corresponding to the peaceful quality is equal to or greater than 17 points, while the diagnosis score of each of the other 8 constitutions is equal to or less than 8 points, the constitution syndrome type of the target patient is peaceful quality.
In another specific example, the symptom confirmation unit is further configured to make the following determination: based on the aforementioned "national basic public health service Specification (third edition)" diagnosis question, when the sum of diagnosis scores corresponding to the diagnosis question of mild quality is equal to or greater than 17 points, while the diagnosis score of each of the other 8 constitutions is equal to or less than 10 points, then the concomitant constitution of the target patient is mild quality.
Illustratively, the symptom confirmation unit is further configured to identify when none of the above determination conditions is met, so that the doctor can generate a specialized intelligent prescription at the device side.
In one embodiment, when two or more diagnosis scores satisfying a first predetermined score are present, the constitutions with high diagnosis scores are used as the constitutional syndrome type.
In another specific example, when the diagnosis scores of the constitutions are consistent, the symptom confirmation unit performs identification when none of the judgment conditions is met, so that the doctor generates a specialized intelligent prescription at the equipment side.
In another specific example, if the determination result of the contradictory constitutions of yin deficiency and yang deficiency occurs, the symptom confirmation unit identifies when the determination conditions are not met, so that the doctor can generate a specialized intelligent prescription at the equipment end.
The symptom confirmation unit of the embodiment of the invention judges the constitution according to the diagnosis score, can accurately judge the constitution syndrome type and the accompanying constitution of the target patient, and the whole process is quick and efficient.
It should be noted that, the embodiment of the present invention is not limited to only using "national basic public health service standard (third edition)" as the diagnosis problem, that is, the embodiment of the present invention can use different constitutions to identify the diagnosis problem and set different preset scores, thereby achieving the purpose of determining the constitutions according to the scores of the diagnosis problem.
In this embodiment, the symptom confirmation unit further determines the indication symptom of the target patient according to the physical constitution syndrome type and the symptom keyword, and for example, based on the above, in the obtained text-form symptom data, the current symptom of the patient can be obtained from the text content of the patient by extracting the keyword, and the physical constitution symptom of the patient existing under the current physical constitution can be obtained according to the physical constitution syndrome type, so as to determine the indication symptom of the patient. In this embodiment, the symptoms of the patient are further clarified by using the diagnostic site picture uploaded by the patient as a symptom picture. Therefore, the symptoms of the patient are diagnosed in various ways, and the accuracy is improved.
In an alternative embodiment, as shown in fig. 4, the prescription matching module includes:
the constitution syndrome type prescription unit is used for matching constitution syndrome type prescriptions from the medicine prescription library according to the constitution syndrome types;
an indication symptom prescription unit for matching an indication symptom prescription from the drug prescription library according to the indication symptom;
an accompanying constitution prescription unit for matching an accompanying constitution prescription from the medicine prescription library according to the accompanying constitution;
and the picture symptom prescription unit is used for matching the picture symptom prescription from the medicine prescription library according to the picture symptom.
In an optional embodiment, the drug prescription database comprises a traditional Chinese medicine inheritance knowledge base system, a modern traditional Chinese medicine knowledge and practice database, a traditional Chinese medicine robot diagnosis and treatment case database, a traditional Chinese medicine diagnosis and treatment robot self-learning system database and a historical prescription database, and the accuracy of the drug prescription is ensured through a plurality of databases.
In an alternative embodiment, as shown in fig. 5, the prescription adjustment module includes an automatic adjustment unit for identifying repeated medicines in the physical evidence type prescription, the indication symptom prescription, the accompanying physical constitution prescription and the picture symptom prescription, adjusting bad matching items in each prescription, and adjusting the types of medicines in each prescription and the doses of medicines in each prescription according to the symptom data filled by the target patient.
In one specific example, the adjustment principle followed by the automatic adjustment unit is: the mutual generation and restriction rules, the addition and subtraction rules of the treatment of the medicines, the drug property balance principle of the traditional Chinese medicine formula, the medication rules of the treatment process and the quantification rules of the five fortune and six qi.
In a specific example, when the same medicines are present in the constitutional evidence type prescription, the indication symptom prescription, the accompanying constitutional prescription, and the picture symptom prescription, the same medicines are preferentially removed in the order of the picture symptom prescription, the accompanying constitutional prescription, the indication symptom prescription, and the constitutional evidence type prescription. That is, the order of priority of the drug prescriptions of the embodiment of the present invention is
In another embodiment, the constitutional evidence type prescription, the indication symptom prescription, the concomitant constitutional prescription, and the picture symptom prescription, i.e., the constitutional evidence type prescription is the closest medicine prescription to the target patient, the indication symptom prescription is the second medicine prescription, and the concomitant constitutional prescription and the picture symptom prescription are the auxiliary prescriptions, and the medicines in the concomitant constitutional prescription and the picture symptom prescription can be preferably selected for adjustment.
In a specific example, the intelligent adjustment of the embodiment of the present invention includes: (1) automatically removing repeated medicines, (2) adjusting the medicines according to a matching incompatibility rule base, and (3) automatically adjusting the medicines and the dosage according to other rules (such as sex, height, weight, whether to perform surgery, prevention and the like), thereby obtaining an intelligent prescription. Illustratively, the drug is adjusted based on the foregoing adjustment principles.
In one embodiment, the prescription of the medicine can be directly adjusted when the repetition is removed and the medicine is adjusted according to the taboo matching rule, and when the other rule of (3) is adjusted, the adjustment can be performed according to the written symptom data filled in by the target patient.
In an alternative embodiment, as shown in fig. 5, the intelligent prescription generating apparatus further includes a manual adjustment unit for modifying the prescription adjusted by the automatic adjustment unit according to the physical evidence type and symptoms determined by the data analysis module, and modifying the type and dosage of the medicine according to the symptom data filled by the target patient and the adjusted prescription.
Based on the medicine adjustment performed by the automatic adjustment unit of the embodiment, the medicine prescription of the embodiment of the present invention is further manually adjusted, the medicine prescription is uploaded to an interface of a doctor, a doctor performs adjustment according to the medicine prescription of the automatic adjustment unit and the analysis of the other units, performs manual verification on the medicine prescription, determines whether the physical quality type, the indication symptom, the accompanying symptom, and the picture symptom determined by the data analysis module are accurate, and further adjusts and confirms the prescription according to the content analyzed by the data analysis module and the symptom data uploaded by the target patient, such as adjusting the prescription, deleting the medicine, adding the medicine, adjusting the dosage, and the like.
In an optional embodiment, as shown in fig. 6, the intelligent prescription generating apparatus further includes an authority selecting module, configured to start the apparatus in response to an operation instruction, to receive the symptom data transmitted by the data obtaining module, the physical evidence type and the symptom output by the data analyzing module, and the medicine prescription output by the prescription matching module, so as to adjust the medicine prescription.
The intelligent prescription device can be arranged at the equipment end of a doctor, the doctor can independently select whether to open the intelligent prescription generating device, when the doctor is not in working time or at the equipment end, an operation instruction can be input through a display interface, for example, an opening permission selecting module is clicked to operate, the permission selecting module enables the intelligent prescription generating device to be in an opening or closing state, the doctor is enabled to have the permission of opening the intelligent prescription, the time of the doctor is fully utilized, and the efficiency of the online intelligent prescription and the accuracy of the intelligent prescription are improved.
In an alternative embodiment, the neural network diagnostic model includes:
the characteristic extraction network is used for carrying out characteristic extraction on the diagnostic part picture through a plurality of convolution layers to obtain a characteristic image of the diagnostic part picture;
a pooling layer for compressing the feature images;
and the full connection layer is used for classifying the compressed characteristic images and outputting the symptom pictures.
Illustratively, the diagnostic part picture, the symptom picture and the intelligent prescription form a corresponding relationship, and the neural network diagnostic model of the embodiment is obtained by using the corresponding relationship and the diagnostic part picture as a training set and using the other part of the diagnostic part picture as a testing set to train and test the neural network model.
According to the intelligent prescription device provided by the embodiment of the invention, an intelligent prescription is provided for a target patient by using an internet technology, after various symptom data are inquired and filled in on-line by the patient, the symptom data uploaded by the target patient are received by the data acquisition module, the data analysis module analyzes the symptom data to determine the constitution syndrome type and the symptom, the prescription matching module can realize intelligent matching of the prescription according to the constitution syndrome type and the symptom to obtain a corresponding medicine prescription, the prescription adjustment module adjusts the medicine according to the constitution syndrome type and the symptom of the target patient to obtain a complete and accurate intelligent prescription, and the prescription matching property and the prescription generation efficiency are improved.
The intelligent prescription generating device provided by the embodiment of the invention can conveniently and efficiently generate the intelligent prescription, greatly shortens the time for doctor-patient communication, improves the efficiency of inquiry, can maximally utilize the time of limited medical resources, and provides online diagnosis and treatment services for more patients. Another embodiment of the present invention further provides an intelligent prescription generating system, including:
an intelligent prescription generating apparatus of the above embodiment of the present invention, and
and the server is used for storing various data of the intelligent prescription generating device and updating the medicine prescription library by using the symptom data and the intelligent prescription.
Illustratively, the intelligent prescription device is integrated at the doctor's equipment end, and the maximum utilization doctor's fragmentation time improves the efficiency of seeing a doctor for the patient. The server is used for realizing data interaction and storage between the server and the intelligent prescription generating device so as to ensure the processing efficiency of the intelligent prescription device.
It should be noted that, for the specific embodiment of the intelligent prescription generating system according to the embodiment of the present invention, reference may be made to the intelligent prescription generating device of the foregoing embodiment, and details are not repeated herein.
In the description of the present invention, 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 phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
It should be understood that the above-mentioned embodiments of the present invention are only examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention, and it will be obvious to those skilled in the art that other variations and modifications can be made on the basis of the above description, and all embodiments cannot be exhaustive, and all obvious variations and modifications belonging to the technical scheme of the present invention are within the protection scope of the present invention.
Claims (10)
1. An intelligent prescription generating device, comprising:
the data acquisition module is used for acquiring symptom data uploaded by a target patient;
the data analysis module is used for determining the constitution syndrome and symptoms of the target patient according to the symptom data;
the prescription matching module is used for selecting a medicine prescription corresponding to the constitution syndrome type and the symptom type from a preset medicine prescription library;
and the prescription adjusting module is used for adjusting the medicine prescription so as to obtain an intelligent prescription corresponding to the target patient.
2. The intelligent prescription generating device of claim 1, wherein said symptom data comprises literal symptom data and pictorial symptom data,
the character pattern symptom data comprise character contents filled by a target patient based on a preset diagnosis question and a digital score;
the picture-shaped symptom data is a picture of a diagnosis part uploaded by a target patient,
wherein the diagnostic question is continuously updated according to the filled-in text content of the target patient.
3. The intelligent prescription generating apparatus of claim 2, wherein said data analysis module comprises:
a symptom extraction unit, configured to extract filled-in symptom keywords of the target patient from text contents in the text-shaped symptom data and the diagnosis question based on a natural language processing technology;
the score calculating unit is used for obtaining a diagnosis score according to the digital score in the character-shaped symptom data and the diagnosis question;
the picture symptom confirming unit is used for inputting the diagnosis part picture into a trained neural network diagnosis model to obtain a picture symptom;
and the symptom confirmation unit is used for determining the constitution syndrome type according to the diagnosis score and the symptom keyword, determining an accompanying constitution according to the symptom keyword and the diagnosis question, and determining the main symptoms of the target patient according to the constitution syndrome type and the symptom keyword, wherein the correlation between the main symptoms, the diagnosis score and the constitution syndrome type is larger than the correlation between the accompanying constitution, the diagnosis score and the constitution syndrome type.
4. The intelligent prescription generating device of claim 3, wherein said prescription matching module comprises:
the constitution syndrome type prescription unit is used for matching constitution syndrome type prescriptions from the medicine prescription library according to the constitution syndrome types;
an indication symptom prescription unit for matching an indication symptom prescription from the drug prescription library according to the indication symptom;
an accompanying constitution prescription unit for matching an accompanying constitution prescription from the medicine prescription library according to the accompanying constitution;
and the picture symptom prescription unit is used for matching the picture symptom prescription from the medicine prescription library according to the accompanying physique.
5. The intelligent prescription generating apparatus according to claim 4, wherein said prescription adjusting module comprises an automatic adjusting unit for identifying repeated drugs in said constitution syndrome prescription, primary symptom prescription, concomitant constitution prescription and picture symptom prescription, adjusting bad matching items in each prescription, and adjusting types of drugs in each prescription and doses of drugs in each prescription according to symptom data filled in said target patient.
6. The intelligent prescription generating apparatus according to claim 5, wherein the prescription adjustment module further comprises a manual adjustment unit for modifying the prescription adjusted by the automatic adjustment unit according to the physical evidence type and symptoms determined by the data analysis module, and modifying the type and dosage of the medicine according to the symptom data filled by the target patient and the adjusted prescription.
7. The intelligent prescription generating apparatus according to any one of claims 1 to 6, further comprising an authority selection module for turning on the apparatus in response to an operation instruction to receive the symptom data transmitted by the data acquisition module, the physical evidence type and symptom output by the data analysis module, and the medicine prescription output by the prescription matching module, so as to adjust the medicine prescription.
8. The intelligent prescription generating apparatus of claim 3, wherein said neural network diagnostic model comprises:
the characteristic extraction network is used for carrying out characteristic extraction on the diagnostic part picture through a plurality of convolution layers to obtain a characteristic image of the diagnostic part picture;
a pooling layer for compressing the feature images;
and the full connection layer is used for classifying the compressed characteristic images and outputting the symptom pictures.
9. The intelligent prescription generating apparatus of claim 2,
the drug prescription library comprises a traditional Chinese medicine inheritance knowledge base system, a modern traditional Chinese medicine knowledge and practice database, a traditional Chinese medicine robot diagnosis and treatment case database, a traditional Chinese medicine diagnosis and treatment robot self-learning system database and historical prescription data, and in an optional embodiment, the drug prescription library comprises a traditional Chinese medicine inheritance knowledge base system, a modern traditional Chinese medicine knowledge and practice database, a traditional Chinese medicine robot diagnosis and treatment case database, a traditional Chinese medicine diagnosis and treatment robot self-learning system database and a historical prescription database;
or alternatively
The diagnostic part picture comprises a picture taken by the target patient or a detection picture of the detection mechanism.
10. An intelligent prescription generating system, comprising:
at least one intelligent prescription generating apparatus as claimed in any one of claims 1 to 9, and
and the server is used for storing various data of the intelligent prescription generating device and updating the medicine prescription library by using the symptom data and the intelligent prescription.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116246762A (en) * | 2023-05-11 | 2023-06-09 | 深圳汇医必达医疗科技有限公司 | Prescription dose optimization method, device, equipment and medium based on artificial intelligence |
| CN116682526A (en) * | 2023-08-03 | 2023-09-01 | 中国中医科学院中国医史文献研究所 | Traditional Chinese medicine knowledge recommendation system based on ancient book knowledge unit processing |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116246762A (en) * | 2023-05-11 | 2023-06-09 | 深圳汇医必达医疗科技有限公司 | Prescription dose optimization method, device, equipment and medium based on artificial intelligence |
| CN116246762B (en) * | 2023-05-11 | 2023-07-21 | 深圳汇医必达医疗科技有限公司 | Prescription dose optimization method, device, equipment and medium based on artificial intelligence |
| CN116682526A (en) * | 2023-08-03 | 2023-09-01 | 中国中医科学院中国医史文献研究所 | Traditional Chinese medicine knowledge recommendation system based on ancient book knowledge unit processing |
| CN116682526B (en) * | 2023-08-03 | 2023-10-24 | 中国中医科学院中国医史文献研究所 | Traditional Chinese medicine knowledge recommendation system based on ancient book knowledge unit processing |
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