Big data growth in the healthcare community, accurate analysis of medical data supports early disease detection,patient care and community services. However, the accuracy of the analysis decreases when the quality of the medicaldata is incomplete. In addition, different regions show unique regional disease characteristics, which can weaken theprediction of disease outbreaks. EHR is designed to store patient medical information. Predictive Analytics involvesa variety of techniques from modeling, machine learning, and data mining that break down past and present datafeatures to predict the future of medical record data. In this survey paper, we discuss predictive analytical models inthe field of EHR that have been made by previous researchers. The purpose of this paper is to provide an overview offuture research opportunities in building a Predictive Analytics Model for Electronic Health Records.

Link Publikasi : https://www.apcore-inc.org/_files/ugd/183efc_19efdb2c48d44832a501b54ad966b188.pdf