A Doctor Recommendation System Using Patient’s Satisfaction Analysis

Abstract

The relationship between a patient and doctor is very important in the field of healthcare. It is essential for proper diagnosis and treatment of diseases. There is a substantial effort devoted in devising techniques to identify the key opinion leaders using active surveying methods based on acquiring and integration of secondary and primary data. The results are validated by describing a physician nomination network. A recommender framework has been proposed in various studies for seeking doctors in accordance with a patient characteristic, including their symptoms and preferred choices. The purpose of this study is to identify doctors based on the satisfaction of patients. The data is collected using the patient satisfaction questionnaire (PSQ-3) for subjects located in Pakistan. This data is further analyzed for devising a collaborative filtering-based recommender algorithm using K-nearest neighbor (KNN) similarity measure to recommend doctors to patients in the form of a sorted ranked list.