OTC-drug-based recommending system

Abstract

The invention provides an OTC-drug-based recommending system. The OTC-drug-based recommending system includes a symptom characteristic database, a drug database and a drug matching module, wherein thesymptom characteristic database is used for matching the acquired symptom information of users so as to acquire a first set of the corresponding symptom characteristics; the drug database is connected with the symptom characteristic database for acquiring the characteristic weight of each symptom characteristic and acquiring a second set of the drugs corresponding to each symptom characteristic,according to the correlated information between each symptom characteristic in the first set and drugs; and the drug matching module is connected with the drug database for respectively acquiring thematching degree of each drug, according to the characteristic weight and the drugs, in the second set, corresponding to each symptom characteristic. The OTC-drug-based recommending system has the advantages of overcoming the defect that in the prior art, the levels of senior pharmacists are various as drugs are recommended to patients, based on the senior pharmacists, so that the finally recommenddrugs are not surely suitable for the patients.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a recommendation system based on OTC medicines. Background technique [0002] OTC over-the-counter drugs refer to drugs that can be purchased without a prescription from a doctor or other medical professionals after being prescribed or approved by the national health administrative department for the convenience of the public and on the premise of ensuring drug safety. When existing patients purchase medicines, they usually choose to go to physical pharmaceutical retail stores such as chain pharmacies. Specifically, patients describe their symptoms to pharmacists, and pharmacists choose corresponding medicines for patients. However, this method has the following defects. The level of licensed pharmacists in pharmacies may vary, which leads to the fact that the recommended drugs are not necessarily suitable for patients. In addition, each physical store needs to be equipped...

AI Technical Summary

Problems solved by technology

When existing patients purchase medicines, they usually choose to go to physical pharmaceutical retail stores such as chain pharmacies. Specifically, patients describe their symptoms to pharmacists, and pharmacists choose corresponding medicines for patients. However, this method has the following defects. The level of licensed pharmacists in pharmacies may vary, which leads to the fact that the recommended drugs are not necessarily suitable for patients. In addition, each physical store needs to be equipped with multiple pharmacists, which will lead to a rapid increase in labor costs. Therefore, there is an urgent need for a system that can recommend drugs to users. System, most of the existing systems applied in the field of medicines are to establish drug databases for medicines, which are only used for querying medicines, so it is not possible to recommend corresponding medicines based on the patient’s disease information

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