CN109036508B - Method and device for processing traditional Chinese medical information, computer equipment and storage medium - Google Patents
Method and device for processing traditional Chinese medical information, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to a method, a device, computer equipment and a storage medium for processing Chinese medical information. The method comprises the following steps: receiving a traditional Chinese medicine prescription generation request sent by a doctor terminal; acquiring a diagnosis-simulating label of the inquiry and a Chinese medicine symptom label carried in the generation request; according to the association relationship among the pre-learned quasi-diagnosis tag, the Chinese medicine symptom tag and the medicament tag, one or more medicament tags associated with the quasi-diagnosis tag and the Chinese medicine symptom tag of the inquiry are matched; and acquiring a detail field corresponding to the matched medicament label, and pushing the medicament label and the corresponding detail field to the doctor terminal. The method can improve the efficiency of the traditional Chinese medicine inquiry.
Description
Technical Field
The present application relates to the field of computer application technologies, and in particular, to a method and apparatus for processing information in traditional Chinese medicine, a computer device, and a storage medium.
Background
The traditional Chinese medicine is a prevention, diagnosis, treatment, rehabilitation and health care means guided by the theory of yin and yang five elements. Traditional Chinese medicine formulas are well known as a branch of traditional Chinese medicine. The traditional Chinese medicine prescription is a prescription formed by combining a plurality of medicines according to the compatibility principle and summarizing clinical experience. The traditional Chinese medicines are various and mainly derived from natural medicines and processed products thereof, including plant medicines, animal medicines, mineral medicines and partial chemical and biological products, and have the characteristics of long medicine names, complexity and difficult recording.
The traditional mode of prescribing a traditional Chinese medicine prescription is usually that doctors manually knock out all medicament names in the prescribing prescription according to knowledge reserves, often the complicated and uncommon medicament names are knocked out and a great deal of time is spent by doctors, and the traditional Chinese medicine inquiry efficiency is generally low.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, an apparatus, a computer device, and a storage medium for processing information of traditional Chinese medicine, which can improve the efficiency of inquiry in traditional Chinese medicine.
A method of processing information in chinese medical science, the method comprising:
receiving a traditional Chinese medicine prescription generation request sent by a doctor terminal;
obtaining a diagnosis-simulating label of the inquiry and a Chinese medicine symptom label carried in the Chinese medicine prescription generation request;
according to the association relationship among the pre-learned quasi-diagnosis tag, the Chinese medicine symptom tag and the medicament tag, one or more target medicament tags associated with the quasi-diagnosis tag and the Chinese medicine symptom tag of the inquiry are matched;
and acquiring a detail field corresponding to the target medicament label, and pushing the target medicament label and the corresponding detail field to the doctor terminal.
In one embodiment, after the obtaining the diagnosis-simulating tag and the Chinese medicine symptom tag of the present inquiry carried in the request for generating the Chinese medicine prescription, the method further includes:
searching whether a prescription library stores a traditional Chinese medicine prescription which is simultaneously associated with the diagnosis-simulating label of the inquiry and the traditional Chinese medicine symptom label;
if yes, acquiring the associated traditional Chinese medicine prescription from the prescription library, and sending the traditional Chinese medicine prescription to the doctor terminal;
otherwise, executing the step of matching one or more target medicament labels associated with the quasi-diagnosis label of the inquiry and the Chinese medicine symptom label according to the association relation among the quasi-diagnosis label, the Chinese medicine symptom label and the medicament label which are learned in advance.
In one embodiment, the obtaining the diagnosis-simulating tag and the Chinese medicine symptom tag of the present inquiry carried in the request for generating the Chinese medicine prescription includes:
searching a consultation case corresponding to a consultation user identifier carried in the traditional Chinese medicine prescription generation request, wherein the consultation case comprises the current consultation information and a historical consultation record;
extracting a multi-dimensional feature phrase from the inquiry case, generating a patient portrait according to the feature phrase, and calculating the probability value of each disease label and each Chinese medicine symptom label appearing under the patient portrait;
and determining a diagnosis-simulating label and a Chinese medicine symptom label of the inquiry according to the calculated probability value.
In one embodiment, after matching one or more target medicament labels associated with the diagnosis-planned label and the Chinese medicine symptom label of the inquiry according to the association relationship among the pre-learned diagnosis-planned label, the Chinese medicine symptom label and the medicament label, the method further comprises:
searching whether the inventory medicament list contains the matched target medicament label;
if not, searching a substitute medicament label with the same medicament effect as the target medicament label and detail fields corresponding to the substitute medicament label, and sending the substitute medicament label and the detail fields corresponding to the substitute medicament label to the doctor terminal.
In one embodiment, the method further comprises:
receiving a traditional Chinese medicine prescription preservation request sent by the doctor terminal, wherein the traditional Chinese medicine prescription preservation request carries traditional Chinese medicine prescription information to be preserved;
acquiring the diagnosis-simulating tag and the Chinese medicine symptom tag from the Chinese medicine prescription information to be stored;
and generating a prescription name according to the diagnosis-simulating label and the Chinese medicine symptom label, and storing the Chinese medicine prescription information in association with the prescription name.
A chinese medical information processing apparatus, the apparatus comprising:
the terminal request receiving module is used for receiving a generation request of the traditional Chinese medicine prescription sent by the doctor terminal;
the information acquisition module is used for acquiring a diagnosis-simulating label of the inquiry and a Chinese medicine symptom label carried in the Chinese medicine prescription generation request;
the medicament label association module is used for matching one or more target medicament labels associated with the diagnosis-planned label of the inquiry and the Chinese medicine symptom label according to the association relationship among the pre-learned diagnosis-planned label, the Chinese medicine symptom label and the medicament label;
and the feedback module is used for acquiring the detail field corresponding to the target medicament label and pushing the target medicament label and the corresponding detail field to the doctor terminal.
In one embodiment, the apparatus further comprises:
the traditional Chinese medicine prescription query module is used for searching whether the traditional Chinese medicine prescription which is simultaneously associated with the diagnosis-simulating label of the inquiry and the traditional Chinese medicine symptom label is stored in the prescription library; if yes, acquiring the associated traditional Chinese medicine prescription from the prescription library, and sending the traditional Chinese medicine prescription to the doctor terminal; otherwise, entering the medicament label association module.
In one embodiment, the information obtaining module is further configured to find a query case of a query user identifier carried in the request for generating the traditional Chinese medicine prescription, where the query case includes the current query information and a historical query record; extracting a multi-dimensional feature phrase from the inquiry case, generating a patient portrait according to the feature phrase, and calculating the probability value of each disease label and each Chinese medicine symptom label appearing under the patient portrait; and determining a diagnosis-simulating label and a Chinese medicine symptom label of the inquiry according to the calculated probability value.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method described above when the processor executes the computer program.
A computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method described above.
According to the traditional Chinese medicine medical information processing method, the device, the computer equipment and the storage medium, the related medicament and the detailed information of the medicament are automatically matched according to the quasi-diagnosis tag and the traditional Chinese medicine symptom tag made by a doctor, the doctor is not required to manually knock out a complex medicament name, the doctor is not required to inquire about the use standard of the medicament, and the prescription efficiency and the inquiry efficiency are obviously improved.
Drawings
FIG. 1 is an application scenario diagram of a method for processing information of traditional Chinese medicine in one embodiment;
FIG. 2 is a schematic diagram of medicament information stored in a medicament repository in one embodiment;
FIG. 3 is a flow chart of a method of processing information in TCM according to one embodiment;
FIG. 4 is a page schematic of a "traditional Chinese medicine prescription Page" in one embodiment;
FIG. 5 is a flow chart of a method for processing information of traditional Chinese medicine in another embodiment;
FIG. 6 is a block diagram showing the construction of a device for processing information of traditional Chinese medicine in one embodiment;
FIG. 7 is a block diagram showing the construction of a device for processing information of traditional Chinese medicine in another embodiment;
fig. 8 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The method for processing the Chinese medical information provided by the application can be applied to an application environment shown in figure 1. Wherein the doctor terminal 102 communicates with the server 104 via a network. The doctor terminal 102 may be, but not limited to, various personal computers, notebook computers, smartphones, tablet computers, and portable wearable devices, and the server 104 may be implemented as a stand-alone server or a server cluster composed of a plurality of servers.
In one embodiment, a method for processing information of traditional Chinese medicine is provided, and the method is applied to the server in fig. 1 for illustration.
In order to support the method, a medicine library and a prescription library need to be constructed in advance, wherein the medicine library records basic information of each medicine, and the basic information comprises information such as common name of the medicine, maximum dose, minimum dose, medicine effect, mutually conflicting medicines and the like. The information can be imported into the drug data in batches, or can be directly added into single drugs.
The prescription library stores various prescriptions including prescription names, remark information (prescription pharmacodynamic analysis description, etc.), medicine details including codes, names, dosages and dosage units of each dose of medicine, usage and frequency. Each medicine in the prescription library is from the medicine library, and clicking the medicine can quickly query the medicine information. Each prescription also comprises information such as the type of the proved recipe, the diagnosis ID, the diagnosis name, the Chinese medicine symptom ID, the Chinese medicine symptom name, the administration dosage, the administration mode and the like. And in particular fig. 2.
Based on the prescription library and the medicine library constructed as described above, a method for processing information of traditional Chinese medicine is provided, as shown in fig. 3, specifically comprising the following steps:
step 302, a request for generating a traditional Chinese medicine prescription sent by a doctor terminal is received.
Step 304, a diagnosis-simulating label and a Chinese medicine symptom label of the inquiry carried in the Chinese medicine prescription generation request are obtained.
The server receives a Chinese medicine prescription generation request sent by the doctor terminal, wherein the Chinese medicine prescription generation request carries a diagnosis-simulating label and a Chinese medicine symptom label which are made for the current inquiry. The quasi-diagnosis label and the Chinese medicine symptom label are diagnosis result labels made by doctors according to the complaints of the patients with inquiry and examination results. The Chinese medicine symptoms are the pathological change essence of the organism at a certain stage in the disease development process, generally comprise the part, reason and property of pathological changes and the relationship between pathogenic factors and vital qi, for example, the diagnosis-planned label is "acute laryngeal disease", and the Chinese medicine symptoms are "Chinese medicine pharyngalgia syndrome".
In one embodiment, as shown in fig. 4, the doctor terminal displays a doctor-entered diagnosis-planned label, such as "acute laryngeal disease", in a selection box of diagnosis results in the "Chinese medicine prescription page". The Chinese medicine symptoms label input by doctors, such as 'Chinese medicine pharyngalgia syndrome', is displayed in a selection frame of Chinese medicine symptoms. When the doctor terminal monitors that the doctor triggers the operation of calling the proved recipe, the doctor terminal sends a Chinese medicine prescription generating request to the server and carries the diagnosis-simulating label and the Chinese medicine symptom label which are input in the Chinese medicine prescription page.
Step 306, matching the target medicament label associated with the obtained quasi-diagnosis label and the Chinese medicine symptom label according to the association relationship among the quasi-diagnosis label, the Chinese medicine symptom label and the medicament label which are learned in advance.
The server collects massive Chinese medicine inquiry big data, extracts the quasi-diagnosis label and Chinese medicine symptom label in each inquiry record in the inquiry big data, and extracts the medicament label in the Chinese medicine prescription in each inquiry record. And (3) learning the relation among the quasi-diagnosis label, the Chinese medicine symptom label and the medicament label, and constructing a correlation model. When a traditional Chinese medicine prescription generation request sent by a doctor terminal is received, a diagnosis-simulating label and a traditional Chinese medicine symptom label carried in the request are input into a correlation model, and a correlated target medicament label set is obtained.
In one embodiment, the diagnosis-planned label, the Chinese medicine symptom and the corresponding medicine label (medicine label set) in the Chinese medicine prescription in each inquiry record in the inquiry big data are extracted, based on the diagnosis-planned label and the medicine label, the probability value of each medicine label is included in the diagnosis prescription of the Chinese medicine symptom label carried in the request is calculated through a naive Bayesian algorithm, and the target medicine labels with the associated set number are screened out according to the probability values, for example, the medicine labels with the probability values larger than the set threshold are screened out.
Step 308: and acquiring the detail fields corresponding to the target medicament labels, and pushing the target medicament labels and the corresponding detail fields to the doctor terminal.
In one embodiment, the detail field corresponding to the medicament label is obtained from the medicament library. The detail fields of the medicament include: medicament code, minimum and/or maximum dose fields, dose units, usage fields. Wherein the usage field is used for marking the administration mode of the medicament, such as oral administration and decoction.
The server sends the acquired medicament label and the corresponding detail fields to the doctor terminal, and the doctor terminal displays the medicament label and the corresponding detail fields according to the set format and displays the detail fields as configurable items. The medication label is displayed as a deletable/newly added item.
In this embodiment, the doctor can automatically match the related medicament and the detailed information of the medicament according to the quasi-diagnosis label and the Chinese medicine symptom label made by the doctor, so that the doctor is not required to manually knock out the complicated medicament name, and is not required to inquire the use standard of the medicament, thereby obviously improving the prescription efficiency and the inquiry efficiency.
Further, as shown in fig. 4, the doctor terminal displays the associated medicine label and the corresponding detail field automatically distinguished by the server on the "traditional Chinese medicine prescription page", configures a delete button for each displayed medicine label, and operates the delete button to delete the corresponding medicine and the corresponding detail field. In addition, the doctor terminal may modify the field value of the detail field according to a modification operation inputted by the doctor.
In one embodiment, the server receives a traditional Chinese medicine prescription preservation request sent by the doctor terminal, wherein the traditional Chinese medicine prescription preservation request carries traditional Chinese medicine prescription information to be preserved; obtaining a diagnosis-simulating label and a Chinese medicine symptom label from Chinese medicine prescription information to be stored; and generating a prescription name according to the diagnosis-simulating label and the Chinese medicine symptom label, and storing the Chinese medicine prescription information in association with the prescription name.
The method comprises the following steps: the doctor terminal monitors the preservation operation triggered by the doctor and preserves the traditional Chinese medicine prescription in the traditional Chinese medicine prescription page. The doctor terminal can automatically generate the prescription name of the traditional Chinese medicine prescription according to the diagnosis-simulating label and the traditional Chinese medicine symptom label corresponding to the traditional Chinese medicine prescription. Specifically, firstly, a diagnosis-simulating label and a Chinese medicine symptom label in a Chinese medicine prescription page are acquired, and a prescription name is generated according to the labels. Extracting prescription information in a traditional Chinese medicine prescription page, and storing the extracted prescription information and the generated prescription name in a correlated way. Further, the server stores the prescription of the traditional Chinese medicine which is regularly pulled from the doctor terminal or stored locally by the doctor terminal according to the prescription storage mode, and the stored prescriptions form a prescription library. It should be noted that the prescription resources in the prescription library are not limited to the above-mentioned storage based on the actual inquiry result, but also can be automatically recorded into the mature prescription.
In one embodiment, at step 304: after obtaining the diagnosis-simulating tag and the Chinese medicine symptom tag of the inquiry carried in the generation request, the method further comprises the following steps: searching whether a prescription library stores traditional Chinese medicine formulas which are simultaneously associated with a diagnosis-simulating label and a traditional Chinese medicine symptom label; if yes, sending detailed information of the related traditional Chinese medicine prescription obtained from the prescription library to a doctor terminal; if not, then step 206 is performed: and obtaining the medicament label associated with the obtained diagnosis-simulating label and the Chinese medicine symptom label according to the association relation among the pre-learned diagnosis-simulating label, the Chinese medicine symptom label and the medicament label.
The prescription names of the traditional Chinese medicine prescriptions stored in the prescription library are provided with the corresponding disease labels and the traditional Chinese medicine symptom labels, the diagnosis-simulating labels and the traditional Chinese medicine symptom labels of the current inquiry are compared with the prescription names of the prescriptions, whether the prescription names comprising the diagnosis-simulating labels and the traditional Chinese medicine symptom labels of the current inquiry exist or not is searched, if yes, the corresponding traditional Chinese medicine prescriptions are used as the traditional Chinese medicine prescriptions of the current inquiry, and the calculation of the associated medicines is not needed by using an associated model, so that the calculation resources are greatly reduced, and the prescription generation efficiency is improved.
In one embodiment, as shown in fig. 5, a medical information processing method is provided, which can automatically analyze and obtain a diagnosis-planned label and a Chinese medicine symptom label according to the inquiry information of a user, and obtain prescription information of a Chinese medicine according to the diagnosis-planned label and the Chinese medicine symptom label obtained by the automatic analysis and matching with associated medicine labels, and specifically includes the following steps:
step 502: and receiving a generation request of the traditional Chinese medicine prescription sent by the doctor terminal.
Step 504: searching a consultation case corresponding to a consultation user identifier carried in a traditional Chinese medicine prescription generation request, wherein the consultation case comprises the current consultation information and a historical consultation record.
The doctor terminal sends a request for generating a Chinese medicinal prescription with a user identification for inquiry, as shown in fig. 3, wherein the user identification for inquiry is "people who are considered in the wind", and in one embodiment, the request for generating a Chinese medicinal prescription can also carry special status fields marked by doctor, such as pregnancy and lactation.
In one embodiment, an online consultation platform is provided, and establishes a timely communication channel for a consultation user terminal and a doctor terminal, so that a patient of the consultation user terminal can conduct timely consultation with the doctor terminal through the timely communication channel. The online consultation platform collects all timely communication dialogs of the consultation users and stores the dialogs as the consultation information under the identification of the consultation users.
The server acquires the current inquiry information and the historical inquiry record under the currently processed inquiry user identification from the inquiry platform, wherein the current inquiry information at least comprises main complaint information, timely communication chat information, characteristic data detected by external equipment and the like. The historical inquiry records may include complaint information, timely communication dialogs, triage, patient basic information such as height, sex, weight, etc., medical history, physical sign data detected by external devices, whether a patient suffers from chronic disease, physical examination reports, etc.
Step 506: and extracting multi-dimensional feature phrases from the inquiry cases, generating a patient portrait according to the feature phrases, and calculating probability values of each disease label and each Chinese medicine symptom label appearing under the patient portrait.
Before extracting the feature phrase, preprocessing the inquiry case, including text processing, namely converting voice information (voice information in timely communication information), pictures and non-text files such as PDF into text data, and cleaning the converted data to remove redundant information.
In one embodiment, multi-dimensional feature phrases are extracted from the interrogation case by pattern recognition and semantic recognition. The multi-dimensional feature phrase comprises a symptom phrase of symptom dimension, a feature phrase of feature dimension, a disease label of disease dimension, a department label of department dimension and other feature phrases, wherein the feature phrase can be a keyword or label for representing special attribute of a patient, such as allergy of a certain medicine, genetic medical history and the like. All the extracted feature phrases form the patient portrait.
In one embodiment, the extracted feature phrase is recorded after the feature phrase is extracted from the history inquiry record, so that the history extracted feature phrase can be directly obtained when the next feature phrase is extracted, repeated extraction is not needed, and the calculation efficiency is greatly improved.
Before the diagnosis result prediction is performed, massive diagnosis and treatment data (the acquired diagnosis and treatment data at least comprise inquiry data and diagnosis result data) need to be acquired from an online inquiry platform, and feature phrase, disease label and Chinese medicine symptom label are extracted from the diagnosis and treatment data. And counting the extracted disease label and Chinese medicine symptom label. In this embodiment, a naive bayes algorithm is used to calculate the probability of each disease label in the disease labels with statistics under the feature phrase extracted in the present inquiry case and the probability of each Chinese medicine symptom label.
In one embodiment, J in the disease tag for occurrence statistics under the extracted feature phrase may be calculated by the following naive Bayesian algorithm model i The probability of a tag, the specific model formula is as follows:
JMAX＝arg max P(J i |q 1 ,q 2 …q m )＝arg maxP(q 1 |J i )P(q 2 |J i )…P(q m |J i )；
wherein m is the number of extracted feature phrases, q 1 ,q 2 …q m Q for extracting feature phrase 1 ,q 2 …q m Are independent of each other, J i For the collected disease label, JMAX is the occurrence of J under the representation of the patient indicated by the extracted multi-dimensional feature phrase i Bayesian probability of disease, the probability value can be determined by P (q 1 |J i )，P(q 2 |J i )，…P(q m |J i ) These probability values are calculated and P (q i |J i ) J appears in massive diagnosis and treatment data through statistics i Appearance of q in diagnosis and treatment data of disease i Probability of a feature phrase.
Further, the probability of each Chinese medicine symptom label appearing under the extracted feature phrase is calculated in the same manner as described above. The method can also determine the disease label firstly, search the set of Chinese medicine symptom labels corresponding to the disease label, and directly calculate Bayes probability screening from the corresponding Chinese medicine symptom labels, namely only calculate the probability of each Chinese medicine symptom label in the corresponding Chinese medicine symptom label set under the extracted feature phrase.
Step 508: and determining a quasi-diagnosis label and a Chinese medicine symptom label of the inquiry according to the calculated probability value.
In one embodiment, the disease label and the Chinese medicine symptom label with the largest probability value are used as the diagnosis-simulating label and the Chinese medicine symptom label of the inquiry, wherein the higher the calculated Bayesian probability is, the higher the association degree between the disease label or the Chinese medicine symptom label and all extracted feature phrases is.
In another embodiment, a plurality of diagnosis-simulating labels and a plurality of Chinese medicine symptom labels may be determined according to the calculated probability value, and the doctor terminal selects one of the determined diagnosis-simulating labels and Chinese medicine symptom labels as the diagnosis-simulating label and the Chinese medicine symptom label of the current inquiry.
Step 510: and matching one or more target medicament labels associated with the acquired quasi-diagnosis label and the Chinese medicine symptom label according to the association relation among the quasi-diagnosis label, the Chinese medicine symptom label and the medicament label which are learned in advance.
Step 512: and acquiring detail fields corresponding to the matched medicament labels, and pushing the medicament labels and the corresponding detail fields to the doctor terminal.
In this embodiment, the multidimensional feature phrase is extracted from the present inquiry information and the historical inquiry record, and the diversified feature data of the patient is fully considered, so that the learning sample size is increased, and the learning accuracy and the prediction accuracy are improved.
In one embodiment, after the step of matching one or more target drug labels associated with the quasi-diagnosis label of the inquiry and the Chinese medicine symptom label according to the association relationship between the quasi-diagnosis label, the Chinese medicine symptom label and the drug label learned in advance, the method further comprises: searching whether the matched target medicament label exists in the maintained inventory medicament list, if so, pushing the target medicament label to a doctor terminal, and if not, searching a substitute medicament label with the same medicament effect and detail fields corresponding to the substitute medicament label, and sending the substitute medicament label and the corresponding detail fields to the doctor terminal.
Further, after the step of matching one or more medicament labels associated with the diagnosis-planned label of the present inquiry and the medicament label according to the association relationship between the pre-learned diagnosis-planned label, the Chinese medical symptom label and the medicament label, the method further comprises the steps of acquiring the position information of the patient from the basic information of the patient of the on-line inquiry platform, searching the nearby medical units according to the position information, acquiring the inventory medicament list of the medical units, judging whether all the associated medicament labels are contained in the inventory medicament list of one medical unit in the acquired inventory medicament list, and if yes, transmitting all the associated medicament labels to the doctor terminal. After the server receives the traditional Chinese medicine prescription confirmed by the doctor terminal and the sent virtual value (i.e. payment) of the inquiring user, the server sends a pharmacy medicine taking request to the medical unit terminal containing all the medicine labels, receives information such as medicine taking time, place, window and the like fed back by the medical unit terminal, and pushes the information to the online inquiring platform. The online inquiry platform sends the information to the corresponding timely communication of the inquiry user terminal and the doctor terminal, so that the inquiry user can timely acquire the related information of medicine taking.
Further, if the drug label does not have a substitute label with the same drug effect, the drug label is marked as an invalid label, and the drug label is not transmitted to the doctor terminal. In another embodiment, if the drug label has no substitute label with the same drug effect, a bayesian probability value between the drug label and the extracted feature phrase is provided, and if the bayesian probability value is greater than a set threshold, the drug label is sent to the doctor terminal, and the drug label is marked with an "important" feature word or "absent" feature word.
It should be understood that, although the steps in the flowcharts of fig. 2 and 5 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 2-5 may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily occur sequentially, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or steps.
In one embodiment, as shown in fig. 6, there is provided a medical information processing apparatus of traditional Chinese medicine, comprising: a terminal request receiving module 602, an information obtaining module 604, a medicament label association module 606, and a feedback module 608, wherein:
the terminal request receiving module 602 receives a request for generating a Chinese medicinal prescription sent by a doctor terminal.
The information obtaining module 604 is configured to obtain a diagnosis-simulating tag and a Chinese medicine symptom tag of the current inquiry carried in the generation request.
The medicine tag association module 606 is configured to match one or more target medicine tags associated with the acquired diagnosis-planned tag and the Chinese medicine symptom tag according to association relationships among the pre-learned diagnosis-planned tag, the Chinese medicine symptom tag and the medicine tag.
And the feedback module 608 is configured to obtain a detail field corresponding to the matched target medicament label, and push the target medicament label and the corresponding detail field to the doctor terminal.
In one embodiment, as shown in fig. 7, the apparatus for processing medical information of traditional Chinese medicine further comprises: the Chinese medicine prescription query module 702 is configured to search whether a Chinese medicine prescription, which is associated with a diagnosis-simulating tag of the present inquiry and a Chinese medicine symptom tag, is stored in the prescription library; if yes, acquiring the associated traditional Chinese medicine prescription from the prescription library, and sending the traditional Chinese medicine prescription to a doctor terminal; otherwise, the medication label association module 606 is entered.
In one embodiment, the information obtaining module 604 is further configured to find a query case corresponding to the query user identifier carried in the generation request, where the query case includes the current query information and a historical query record; extracting multi-dimensional feature phrases from the inquiry cases, extracting the multi-dimensional feature phrases from the inquiry cases, generating a patient portrait according to the feature phrases, and calculating probability values of each disease label and each Chinese medicine symptom label appearing under the patient portrait; and determining a quasi-diagnosis label and a Chinese medicine symptom label of the inquiry according to the calculated probability value.
In one embodiment, the apparatus for processing medical information of traditional Chinese medicine further comprises: the replacement medicament acquisition module is used for searching whether the inventory medicament list contains the matched target medicament label;
if not, searching for a substitute medicament label with the same medicament effect as the target medicament label and detail fields corresponding to the substitute medicament label, and sending the detail fields corresponding to the substitute medicament label and the substitute medicament label to the doctor terminal.
In one embodiment, the apparatus for processing medical information of traditional Chinese medicine further comprises: the traditional Chinese medicine prescription storage module is used for receiving a traditional Chinese medicine prescription storage request sent by the doctor terminal, wherein the traditional Chinese medicine prescription storage request carries traditional Chinese medicine prescription information to be stored; obtaining a diagnosis-simulating label and a Chinese medicine symptom label from Chinese medicine prescription information to be stored; and generating a prescription name according to the diagnosis-simulating label and the Chinese medicine symptom label, and storing the Chinese medicine prescription information in association with the prescription name.
The specific limitation of the apparatus for processing the information of the traditional Chinese medicine can be referred to as limitation of the method for processing the information of the traditional Chinese medicine, and the description thereof is omitted here. The above-described respective modules in the apparatus for processing information of chinese medical science may be realized in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 8. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing medicament labels; the association relationship between the diagnosis-simulating label and the Chinese medicine sign label and the medicament label. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by a processor is to implement a method of processing information in chinese medical science.
In one embodiment, a computer device is provided comprising a memory storing a computer program and a processor that when executing the computer program performs the steps of: receiving a traditional Chinese medicine prescription generation request sent by a doctor terminal; obtaining a diagnosis-simulating label of the inquiry and a Chinese medicine symptom label carried in a Chinese medicine prescription generation request; according to the association relationship among the pre-learned quasi-diagnosis tag, the Chinese medicine symptom tag and the medicament tag, one or more target medicament tags associated with the quasi-diagnosis tag of the inquiry and the Chinese medicine symptom tag are matched; and acquiring the detail fields corresponding to the target medicament labels, and pushing the target medicament labels and the corresponding detail fields to the doctor terminal.
In one embodiment, the processor when executing the computer program further performs the steps of: searching whether a prescription library stores a traditional Chinese medicine prescription which is simultaneously associated with a diagnosis-simulating label of the inquiry and a Chinese medicine symptom label; if yes, acquiring the associated traditional Chinese medicine prescription from the prescription library, and sending the traditional Chinese medicine prescription to a doctor terminal; otherwise, executing the step of matching one or more target medicament labels associated with the diagnosis-planned label of the inquiry and the Chinese medicine symptom label according to the association relation among the pre-learned diagnosis-planned label, the Chinese medicine symptom label and the medicament label.
In one embodiment, the processor when executing the computer program further performs the steps of: searching a consultation case corresponding to a consultation user identifier carried in a traditional Chinese medicine prescription generation request, wherein the consultation case comprises the current consultation information and a historical consultation record; extracting multi-dimensional feature phrases from the inquiry cases, generating a patient portrait according to the feature phrases, and calculating probability values of each disease label and each Chinese medicine symptom label appearing under the patient portrait; and determining a quasi-diagnosis label and a Chinese medicine symptom label of the inquiry according to the calculated probability value.
In one embodiment, the processor when executing the computer program further performs the steps of: searching whether the inventory medicament list contains the matched target medicament label; if not, searching for a substitute medicament label with the same medicament effect as the target medicament label and detail fields corresponding to the substitute medicament label, and sending the detail fields corresponding to the substitute medicament label and the substitute medicament label to the doctor terminal.
In one embodiment, the processor when executing the computer program further performs the steps of: receiving a traditional Chinese medicine prescription preservation request sent by a doctor terminal, wherein the traditional Chinese medicine prescription preservation request carries traditional Chinese medicine prescription information to be preserved; obtaining a diagnosis-simulating label and a Chinese medicine symptom label from Chinese medicine prescription information to be stored; and generating a prescription name according to the diagnosis-simulating label and the Chinese medicine symptom label, and storing the Chinese medicine prescription information in association with the prescription name.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of: receiving a traditional Chinese medicine prescription generation request sent by a doctor terminal; obtaining a diagnosis-simulating label of the inquiry and a Chinese medicine symptom label carried in a Chinese medicine prescription generation request; according to the association relationship among the pre-learned quasi-diagnosis tag, the Chinese medicine symptom tag and the medicament tag, one or more target medicament tags associated with the quasi-diagnosis tag of the inquiry and the Chinese medicine symptom tag are matched; and acquiring the detail fields corresponding to the target medicament labels, and pushing the target medicament labels and the corresponding detail fields to the doctor terminal.
In one embodiment, the computer program when executed by the processor further performs the steps of: searching whether a prescription library stores a traditional Chinese medicine prescription which is simultaneously associated with a diagnosis-simulating label of the inquiry and a Chinese medicine symptom label; if yes, acquiring the associated traditional Chinese medicine prescription from the prescription library, and sending the traditional Chinese medicine prescription to a doctor terminal; otherwise, executing the step of matching one or more target medicament labels associated with the diagnosis-planned label of the inquiry and the Chinese medicine symptom label according to the association relation among the pre-learned diagnosis-planned label, the Chinese medicine symptom label and the medicament label.
In one embodiment, the computer program when executed by the processor further performs the steps of: searching a consultation case corresponding to a consultation user identifier carried in a traditional Chinese medicine prescription generation request, wherein the consultation case comprises the current consultation information and a historical consultation record; extracting multi-dimensional feature phrases from the inquiry cases, generating a patient portrait according to the feature phrases, and calculating probability values of each disease label and each Chinese medicine symptom label appearing under the patient portrait; and determining a quasi-diagnosis label and a Chinese medicine symptom label of the inquiry according to the calculated probability value.
In one embodiment, the computer program when executed by the processor further performs the steps of: searching whether the inventory medicament list contains the matched target medicament label; if not, searching for a substitute medicament label with the same medicament effect as the target medicament label and detail fields corresponding to the substitute medicament label, and sending the detail fields corresponding to the substitute medicament label and the substitute medicament label to the doctor terminal.
In one embodiment, the computer program when executed by the processor further performs the steps of: receiving a traditional Chinese medicine prescription preservation request sent by a doctor terminal, wherein the traditional Chinese medicine prescription preservation request carries traditional Chinese medicine prescription information to be preserved; obtaining a diagnosis-simulating label and a Chinese medicine symptom label from Chinese medicine prescription information to be stored; and generating a prescription name according to the diagnosis-simulating label and the Chinese medicine symptom label, and storing the Chinese medicine prescription information in association with the prescription name.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (10)
1. A method of processing information in chinese medical science, the method comprising:
receiving a traditional Chinese medicine prescription generation request sent by a doctor terminal;
obtaining a diagnosis-simulating label of the inquiry and a Chinese medicine symptom label carried in the Chinese medicine prescription generation request;
according to the association relation among the pre-learned quasi-diagnosis tag, the Chinese medicine symptom tag and the medicament tag, one or more target medicament tags associated with the quasi-diagnosis tag and the Chinese medicine symptom tag of the inquiry are matched, the method comprises the steps of extracting medicament tag sets in a Chinese medicine prescription corresponding to the quasi-diagnosis tag and the Chinese medicine symptom tag, calculating probability values of each medicament tag in the medicament tag sets in a diagnosis prescription carried in a Chinese medicine prescription generation request by using a naive Bayesian algorithm, and screening out the associated target medicament tags of set quantity according to the probability values;
and acquiring a detail field corresponding to the target medicament label, and pushing the target medicament label and the corresponding detail field to the doctor terminal.
2. The method according to claim 1, further comprising, after the obtaining the diagnosis-simulating tag and the chinese medicine symptom tag of the present inquiry carried in the chinese medicine prescription generating request:
searching whether a prescription library stores a traditional Chinese medicine prescription which is simultaneously associated with the diagnosis-simulating label of the inquiry and the traditional Chinese medicine symptom label;
if yes, acquiring the associated traditional Chinese medicine prescription from the prescription library, and sending the traditional Chinese medicine prescription to the doctor terminal;
otherwise, executing the step of matching one or more target medicament labels associated with the quasi-diagnosis label of the inquiry and the Chinese medicine symptom label according to the association relation among the quasi-diagnosis label, the Chinese medicine symptom label and the medicament label which are learned in advance.
3. The method according to claim 1 or 2, wherein the obtaining the diagnosis-simulating tag and the Chinese medicine symptom tag of the present inquiry carried in the request for generating the Chinese medicine prescription includes:
searching a consultation case corresponding to a consultation user identifier carried in the traditional Chinese medicine prescription generation request, wherein the consultation case comprises the current consultation information and a historical consultation record;
extracting a multi-dimensional feature phrase from the inquiry case, generating a patient portrait according to the feature phrase, and calculating the probability value of each disease label and each Chinese medicine symptom label appearing under the patient portrait;
and determining a diagnosis-simulating label and a Chinese medicine symptom label of the inquiry according to the calculated probability value.
4. The method of claim 1, further comprising, after matching one or more target medication labels associated with the quasi-diagnosis label and the chinese medical science symptom label of the present inquiry based on association relationships among quasi-diagnosis labels, chinese medical science symptom labels, and medication labels learned in advance:
searching whether the inventory medicament list contains the matched target medicament label;
if not, searching a substitute medicament label with the same medicament effect as the target medicament label and detail fields corresponding to the substitute medicament label, and sending the substitute medicament label and the detail fields corresponding to the substitute medicament label to the doctor terminal.
5. The method according to claim 1, wherein the method further comprises:
receiving a traditional Chinese medicine prescription preservation request sent by the doctor terminal, wherein the traditional Chinese medicine prescription preservation request carries traditional Chinese medicine prescription information to be preserved;
acquiring the diagnosis-simulating tag and the Chinese medicine symptom tag from the Chinese medicine prescription information to be stored;
and generating a prescription name according to the diagnosis-simulating label and the Chinese medicine symptom label, and storing the Chinese medicine prescription information in association with the prescription name.
6. A device for processing information in chinese medical science, the device comprising:
the terminal request receiving module is used for receiving a generation request of the traditional Chinese medicine prescription sent by the doctor terminal;
the information acquisition module is used for acquiring a diagnosis-simulating label of the inquiry and a Chinese medicine symptom label carried in the Chinese medicine prescription generation request;
the medicine label association module is used for matching one or more target medicine labels associated with the diagnosis-planned labels of the inquiry and the traditional Chinese medicine symptoms according to association relations among the pre-learned diagnosis-planned labels, the traditional Chinese medicine symptoms labels and the medicine labels, and comprises the steps of extracting medicine label sets in a traditional Chinese medicine prescription corresponding to the diagnosis-planned labels and the traditional Chinese medicine symptoms, calculating probability values of each medicine label in the medicine label sets in a diagnosis prescription carried in a traditional Chinese medicine prescription generation request by using a naive Bayesian algorithm, and screening out the associated set number of target medicine labels according to the probability values;
and the feedback module is used for acquiring the detail field corresponding to the target medicament label and pushing the target medicament label and the corresponding detail field to the doctor terminal.
7. The apparatus of claim 6, wherein the apparatus further comprises:
the traditional Chinese medicine prescription query module is used for searching whether the traditional Chinese medicine prescription which is simultaneously associated with the diagnosis-simulating label of the inquiry and the traditional Chinese medicine symptom label is stored in the prescription library; if yes, acquiring the associated traditional Chinese medicine prescription from the prescription library, and sending the traditional Chinese medicine prescription to the doctor terminal; otherwise, entering the medicament label association module.
8. The apparatus according to claim 6 or 7, wherein the information obtaining module is further configured to find a query case of a query user identifier carried in the chinese medicine prescription generating request, where the query case includes the present query information and a historical query record; extracting a multi-dimensional feature phrase from the inquiry case, generating a patient portrait according to the feature phrase, and calculating the probability value of each disease label and each Chinese medicine symptom label appearing under the patient portrait; and determining a diagnosis-simulating label and a Chinese medicine symptom label of the inquiry according to the calculated probability value.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 5 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 5.
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| CN113139114A (en) * | 2020-01-19 | 2021-07-20 | 浙江爱多特大健康科技有限公司 | Information pushing method, device, equipment and medium |
| CN111599433B (en) * | 2020-04-14 | 2023-11-03 | 崔何珊 | Auxiliary prescription method and device for medicinal materials, storage medium and terminal |
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| CN112133415A (en) * | 2020-09-14 | 2020-12-25 | 微医云(杭州)控股有限公司 | Method, device, equipment and storage medium for replacing medicament |
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