Here, a machine learning algorithm model is a. Thus, Twitter users tweet attributes related to health, Kafka streaming receives all desired tweets attributes and ingest them to Spark streaming. The idea is to use Twitter as a communication channel to transmit data generated by IoT medical devices to a system to perform analytics in a real-time fashion, using streaming. Proposed Spark Parallel Random Forest (SPRF) is used as data classifier. The proposed system uses Twitter as data source, Apache Kafka as ingestion tool, Apache Spark as computing engine, Apache Cassandra as storage engine and Apache Zeppelin as analytical tool. This paper proposes a scalable, big data, real-time health status prediction and analytical system to filter, manage, process, predict and store streaming health data. NB: Prenez votre temps rsoudre ce problme sans voir la solution:D:D:D Voir aussi: Liste de 50 exercices avec correction UML Etude de cas I: On souhaite dvelopper une application informatique qui permet la gestion des emprunts des Cd-rom contenant des jeux vido pour les enfants. more The growing chronic diseases patients and the centralization of medical resources cause significant economic impact resulting in hospital visits, hospital readmission, and other healthcare costs. The growing chronic diseases patients and the centralization of medical resources cause significa.
0 Comments
Leave a Reply. |