Research Progress of User Portrait Technology in Medical Field

Abstract

In recent years, due to the rise of big data mining and intelligent recommendation, user portrait technology has gradually become a hot topic. As a new data analysis method, user portrait technology aims to mine user characteristics from a large number of user behavior data, and complete the user information panorama of the monomer or group through information mining, so as to prepare for the realization of precision service and personalized recommendation in various industries. It has been widely used in personalized recommendation and precision recommendation, personalized service and intelligent service, group characteristics analysis, prediction analysis and auxiliary decision-making. User portrait technology in the domestic research started late, currently in e-commerce, commercial precision marketing, book recommendation management, network personalized search, video entertainment and other fields of application is relatively mature. However, the application of user portrait technology in the field of medical and health is still in the preliminary exploration stage, and the combination of medical big data and user portrait technology can vividly depict the portraits of patients, doctors, residents and other different groups in promoting health and disease prevention. According to the different characteristics extracted, it can provide reference for meeting the needs of patients and achieving precision medicine. Therefore, this study reviews the concept, elements, implementation process and application of user portrait technology in the medical field, and provides reference for the subsequent application research of user portrait technology in the medical field