Doctor recommendation system based on collaborative filtering

Abstract

The present invention discloses a doctor recommendation system based on collaborative filtering. The system is characterized in comprising a patient characteristic extraction module, for automatically establishing basic data of a patient by determination, and establishing a complete patient database based on the input requirements; a patient similarity calculation module, for carrying out similarity calculation on the patient with other existing patients in the database through the database established by the patient characteristic extraction module, and obtaining a similarity value; and a recommendation system module, for carrying out collaborative filtering on similar cases by using the result provided by the patient similarity calculation module, recommending a doctor group and departments, tracking the results selected by the patient, and recording and transmitting the content selected by the patient and the click behavior. The system disclosed by the present invention helps the patient to accurately find a similar and successful diagnosis and treatment record, an appropriate doctor is recommended for the patient, and active doctor recommendation is converted to, so that quality of medical care and quality of service are improved, the patient is involved in and informed of the medical decision-making of the diagnosis and treatment process, and the doctor-patient relationship is improved.

Description

technical field [0001] The invention relates to the technical field of recommendation systems, in particular to the field of recommendation systems based on disease similarity. Background technique [0002] In the traditional daily medical treatment process, patients usually choose a doctor in the following ways: (1) patients choose the doctor they want to register by asking their relatives and friends; (2) through simple communication with the registration staff, let the registration staff recommend the corresponding doctor (3) Combined with the doctor information released by the hospital, choose a doctor who is more likely to suit you. The above-mentioned methods have the following defects: patients lack medical knowledge, and it is difficult to make an accurate judgment on their own diseases; there are many doctors in the hospital, and it is impossible for the registration staff to be familiar with each doctor's specialty; the level of doctors is increasing day by day, an...

AI Technical Summary

Problems solved by technology

The above-mentioned methods have the following defects: patients lack medical knowledge, and it is difficult to make an accurate judgment on their own diseases; there are many doctors in the hospital, and it is impossible for the registration staff to be familiar with each doctor's specialty; the level of doctors is increasing day by day, and the hospital The description of what the doctor is good at is not detailed and accurate enough

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