Deep learning based over-the-counter drug recommendation system and recommendation method

Abstract

The invention discloses a deep learning based over-the-counter OTC drug recommendation system. The deep learning based over-the-counter drug recommendation system comprises a disease library, a symptom library, an over-the-counter drug library, a data acquisition module, a deep learning data training module, a user information receiving module and a drug recommendation module; the data acquisitionmodule is used for acquiring data information in the disease library, the symptom library and the over-the-counter drug library, and pre-processing and outputting the acquired data; the deep learningdata training module is configured to perform training to form the drug recommendation model according to the data information input by the data acquisition module; the user information receiving module is configured to input the received electronic medical record data into the drug recommendation module; and the drug recommendation module is configured to identify and output a corresponding drugrecommendation result. Compared with the prior art, the beneficial effects of the deep learning based over-the-counter drug recommendation system are that the type of the disease of the patient may be identified according to the symptom characteristics of the patient, and the most appropriate drug is recommended to the patient.

Description

technical field [0001] The invention relates to the field of medicine, in particular to an OTC drug recommendation system and recommendation method based on deep learning. Background technique [0002] With the improvement of living standards, people pay more attention to their own health. However, the existing medical resources in various places are scarce, and the number of hospitals, pharmacies, doctors and licensed pharmacists is far from meeting people's health needs. Moreover, the skills of doctors or licensed pharmacists in various places, hospitals, and pharmacies are uneven, and they cannot accurately diagnose the diseased species according to the patient's symptoms, resulting in a tense relationship between doctors and patients. The existing drug recommendation system cannot actively recommend drugs according to the type of disease the patient suffers from and the corresponding symptom characteristics of the disease. Contents of the invention [0003] In view o...

AI Technical Summary

Problems solved by technology

However, the existing medical resources in various places are scarce, and the number of hospitals, pharmacies, doctors and licensed pharmacists is far from meeting people's health needs

Moreover, the skill levels of doctors or licensed pharmacists in various places, hospitals, and pharmacies are uneven, and it is impossible to accurately diagnose the diseased species based on the patient's symptoms, resulting in a tense relationship between doctors and patients.

The existing drug recommendation system cannot actively recommend drugs according to the type of disease the patient suffers from and the corresponding symptom characteristics of the disease.

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