AI based healthcare platform for real time, predictive and prescriptive analytics

Abstract

The healthcare industry is changing at a fast rate. Recently, big data real time computing has been studied to enhance the quality of healthcare services and reduce costs making decisions in real-time. Artificial intelligence is used to track the big data. AI in healthcare sector could make treatment plans better, and also provide physicians information they need to make a good decision. This paper proposes a generic architecture for big data healthcare analytic by using open sources, including Apache Spark, Apache NiFi, Kafka, Tachyon, Gluster FS, Elastic search and NoSQL Cassandra. This paper will show the importance of applying AI based predictive and prescriptive analytics techniques in Health sector. The system will be able to extract useful knowledge that helps in decision making and medical monitoring in real-time through an intelligent process analysis and big data processing.