Emerging Technologies for Healthcare: Internet of Things and Deep Learning Models (Machine Learning in Biomedical Science and Healthcare Informatics)

“Emerging Technologies for Healthcare” begins with an IoT-based solution for the automated healthcare sector which is enhanced to provide solutions with advanced deep learning techniques. The book provides feasible solutions through various machine learning approaches and applies them to disease analysis and prediction. An example of this is employing a three-dimensional matrix approach for treating chronic kidney disease, the diagnosis and prognostication of acquired demyelinating syndrome (ADS) and autism spectrum disorder, and the detection of pneumonia. In addition, it provides healthcare solutions for post COVID-19 outbreaks through various suitable approaches, Moreover, a detailed detection mechanism is discussed which is used to devise solutions for predicting personality through handwriting recognition; and novel approaches for sentiment analysis are also discussed with sufficient data and its dimensions. This book not only covers theoretical approaches and algorithms, but also contains the sequence of steps used to analyze problems with data, processes, reports, and optimization techniques. It will serve as a single source for solving various problems via machine learning algorithms. Front Matter -- Basics of Smart Healthcare. An Overview of IoT in Health Sectors / PS Sheeba -- IoT-Based Solutions for Smart Healthcare / Pankaj Jain, Sonia F Panesar, Bableen Flora Talwar, Mahesh Kumar Sah -- QLattice Environment and Feyn QGraph Models-A New Perspective Toward Deep Learning / Vinayak Bharadi -- Sensitive Healthcare Data: Privacy and Security Issues and Proposed Solutions / Abhishek Vyas, Satheesh Abimannan, Ren-Hung Hwang -- Employment of Machine Learning in Disease Detection. Diabetes Prediction Model Based on Machine Learning / Ayush Kumar Gupta, Sourabh Yadav, Priyanka Bhartiya, Divesh Gupta -- Lung Cancer Detection Using 3D CNN Based on Deep Learning / Siddhant Panda, Vasudha Chhetri, Vikas Kumar Jaiswal, Sourabh Yadav -- Pneumonia Detection Using CNN and ANN Based on Deep Learning Approach / Priyanka Bhartiya, Sourabh Yadav, Ayush Gupta, Divesh Gupta -- Personality Prediction and Handwriting Recognition Using Machine Learning / Vishal Patil, Harsh Mathur -- Risk Mitigation in Children With Autism Spectrum Disorder Using Brain Source Localization / Joy Karan Singh, Deepti Kakkar, Tanu Wadhera -- Predicting Chronic Kidney Disease Using Machine Learning / Monika Gupta, Parul Gupta -- Advanced Applications of Machine Learning in Healthcare. Behavioral Modeling Using Deep Neural Network Framework for ASD Diagnosis and Prognosis / Tanu Wadhera, Deepti Kakkar, Rajneesh Rani -- Random Forest Application of Twitter Data Sentiment Analysis in Online Social Network Prediction / Arnav Munshi, M Arvindhan, K Thirunavukkarasu -- Remedy to COVID-19: Social Distancing Analyzer / Sourabh Yadav -- IoT-Enabled Vehicle Assistance System of Highway Resourcing for Smart Healthcare and Sustainability / Shubham Joshi, Radha Krishna Rambola -- Aids of Machine Learning for Additively Manufactured Bone Scaffold / Nimisha Rahul Shirbhate, Sanjay Bokade Internet Of Things (iot) Refers To The Computer Network Consisting Of ‘things’ Or Physical Objects. These Things Comprise Sensors Or Software Or A Method To Connect And Exchange Data With Other Devices. This Book, Emerging Technologies For Healthcare, Primarily Focuses On The Use And Applications Of Iot And Deep Learning Approaches For Providing The Automated Healthcare Solutions. The Motive Of This Book Is About Giving Insightful Information Of Data And Finally Providing Feasible Solutions Through Various Approaches Of Machine Learning And Its Applicability On Disease Analysis And Prediction. Diseases Discussed Include Chronic Kidney, Ads Diagnosis And Prognosis, Austin Spectrum Disorder, Pneumonia Detection. The Book Presents A Detailed Detection Mechanism To Come Up With The Solutions For Personality Detection And Handwriting Recognition. Also, Novel Approaches Of Sentiment Are Discussed With Sufficient Data And Its Dimensions. This Book Covers Not Only Theoretical Approaches And Algorithms, But Also Contains A Sequence Of Steps To The Analyze Problems With Data, Process, Reports, And Optimization Techniques. The Book Serves To Be A Single Source For Various Problem Solving By Machine Leaning Algorithms. It Begins With Iot-based Solutions For The Automated Healthcare Sector And Extends To Provide Solutions Of Deep Learning As An Advanced Technology.