Emerging technologies for healthcare : Internet of Things and deep learning models /
Emerging technologies for healthcare : Internet of Things and deep learning models /
edited by Monika Mangla [and more].
- Hoboken, NJ : Beverly, MA : Wiley ; Scrivener Publishing, 2021.
- 1 online resource (416 pages)
- Machine Learning in Biomedical Science and Healthcare Informatics .
- Machine Learning in Biomedical Science and Healthcare Informatics. .
Includes bibliographical references and index.
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.
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.
9781119792345 1119792347 1119792320 9781119792338 1119792339 9781119792321
10.1002/9781119792345 doi
9781119792321 Wiley
GBC1B9550 bnb
020273890 Uk
Artificial intelligence--Medical applications.
Medical informatics.
Medical innovations.
Medicine--Data processing.
Medical Informatics Applications
Medical Informatics
Intelligence artificielle en m�edecine.
M�edecine--Informatique.
M�edecine--Innovations.
Medicine--Data processing
Artificial intelligence--Medical applications
Medical informatics
Medical innovations
R859.7.A78
610.285/63
Includes bibliographical references and index.
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.
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.
9781119792345 1119792347 1119792320 9781119792338 1119792339 9781119792321
10.1002/9781119792345 doi
9781119792321 Wiley
GBC1B9550 bnb
020273890 Uk
Artificial intelligence--Medical applications.
Medical informatics.
Medical innovations.
Medicine--Data processing.
Medical Informatics Applications
Medical Informatics
Intelligence artificielle en m�edecine.
M�edecine--Informatique.
M�edecine--Innovations.
Medicine--Data processing
Artificial intelligence--Medical applications
Medical informatics
Medical innovations
R859.7.A78
610.285/63