Applying Apache Spark on Streaming Big Data for Health Status Prediction

Big data applications in healthcare have provided a variety of solutions to reduce costs, errors, and waste. This work aims develop real-time system based on big medical processing the cloud for prediction health issues. In proposed scalable system, parameters are sent Apache Spark extract attributes from apply machine learning algorithm. this way, risks can be predicted as alerts recommendations users providers. The also provide an effective recommendation by using streaming data, historical user’s profile, knowledge database make most appropriate sensor’s measurements. works tweeting status users. Their profile receives real time extracting via algorithm predict users’ status. Subsequently, their demand Therefore, algorithms applied stream care wearables with insights into These help providers individuals focus changes consequently improve quality life.