WITHDRAWN: Disease prediction and diagnosis system in cloud based IoT: A review on deep learning techniques

Abstract

Abstract In recent years, the Internet of Things (IoT) -based mobile healthcare applications have highlighted multi-dimensional events and organizations in real-time. These apps provide a platform for millions of people to continuously receive health updates for a more beneficial lifestyle. Since the launch of IoT devices in the healthcare industry, the core components of these applications have been refined to this point. IoT devices generate huge amounts of data in healthcare. Innovation in cloud computing is used to manage large amounts of data and usability. In this scenario, cloud-based applications play an important role in this rapidly changing world. Experts in this field have sought to robotize the pathway to identify and diagnose diseases that could potentially exploit IT innovation. As a result, various tests have proposed a cloud-based IoT prediction and diagnostic framework for diseases that use a secure and different machine learning algorithm. Extensive studies were undertaken to obtain a variety of research articles from all disciplines of heart disease and to examine important commitments and their focal points. Here, the complete twelve papers are divided. In addition, this survey provides a detailed reflection on the disease prognosis and diagnostic system.