A doctor recommendation algorithm based on doctor performances and patient preferences

A doctor recommendation algorithm is proposed based on the doctor performances model and the patient preferences model, which aims at relieving the problem of doctor information overload and “reservation imbalance” of Shanghai Medical League Appointment Platform and helping patients to schedule a medical appointment successfully. The algorithm is designed via adding the characteristic of patient preferences to the framework of the doctor performances model, which is built with the Analytic Hierarchy Process method. At present, the recommendation algorithm has already been successfully applied to the Shanghai Medical League Appointment Platform. The algorithm is evaluated by patients´ operation records and reservation records, and results show that the recommendations are reasonable, and can match the patients´ reservation demands effectively.