Machine Learning, Deep Learning, Big Data, and Internet of Things for Healthcare (eBook, PDF)

Redaktion: Patel, Govind Singh; Chaudhary, Sunil Kumar; Nayak, Seema

• Format: PDF

Produktbeschreibung

This book reviews that narrate the development of current technologies under the theme of the emerging concept of healthcare, specifically in terms of what makes healthcare more efficient and effective with the help of high-precision algorithms. The mechanism that drives it is machine learning, deep learning, big data, and Internet of Things (IoT)-the scientific field that gives machines the ability to learn without being strictly programmed. It has emerged together with big data technologies and high-performance computing to create new opportunities to unravel, quantify, and understand data-intensive processes in healthcare operational environments.

This book offers comprehensive coverage of the most essential topics, including:

• Introduction to e-monitoring for healthcare
• Case studies based on big data and healthcare
• Intelligent learning analytics in healthcare sectors using machine learning and IoT
• Identifying diseases and diagnosis using machine learning and IoT
• Deep learning architecture and framework for healthcare using IoT
• Knowledge discovery from big data of healthcare-related processing
• Big data and IoT in healthcare
• Role of IoT in sustainable healthcare
• A heterogeneous IoT-based application for remote monitoring of physiological and environmental parameters

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 188
• Erscheinungstermin: 25. August 2022
• Englisch
• ISBN-13: 9781000635928
• Artikelnr.: 64237249

Autorenporträt

Dr. Govind Singh Patel has done PhD in Electronics and Communication Engineering from Thapar University, Patiala, India. He is working as a Professor in Electronics and Telecommunication Engineering, SITCOE, Kolhapur, MH, India. He has published more than 77 papers in National and International Journals. He is a reviewer of many international journals like Springer, JCTN etc. Prof. (Dr.) Seema Nayak is presently working as Professor and Head of department of Electronics & Communication Engineering at IIMT College of engineering , Greater Noida. Dr. Seema Nayak did her Bachelors in Electronics & Communication Engineering from Maharastra and PhD MRIU, Faridabad. Her research area is Digital signal processing. She has many publications in referred journals and international confereces. She has filed two patents. She is also Editor and Reviewer of many journals. She has 23 years of academic experience. She received grants for conferences, FDP from AICTE, AKTU, ISTE. She is member of IEI , IAENG Society. She has published research paper in many reputed journals. Dr.Sunil Kumar Chaudhary graduated (B.E) from Nagpur University in 1996 in Electronics, completed his post graduated (M.E.) in Electrical Engineering,(Power Electronics, Electric Machines and Electric Drives) from M.D. University, Haryana in the year 2006 and completed Ph.D. in Electrical Engineering, from Jamia Millia Islamia, New Delhi in 2014. Presently working as Professor in Electrical Engineering Department, Galgotia College of Engineering (GCET), Greater Noida. His employment experience includes Lingaya Institute of Management and Technology (LIMAT) Faridabad, Haryana, Manav Rachna College of Engineering (MRCE), Faridabad, Haryana, Greater Noida Institute of Technology (GNIOT), Greater Noida, U.P., Gautam Budha University (GBU), Greater Noida.

Inhaltsangabe

Chapter 1
Introduction to E-Monitoring for Healthcare Seema Nayak, Shamla Mantri, Manoj Nayak, and Amrita Rai Chapter 2
Case Study-Based Big Data and IoT in Healthcare Arun Kumar Garov and A.K. Awasthi Chapter 3
Intelligent Learning Analytics in the Healthcare Sector Using Machine Learning and IoT Kundankumar Rameshwar Saraf and P. Malathi Chapter 4
Influence of AI and Machine Learning to Empower the Healthcare Sector Sumit Koul, Bharti Koul, and Bhawna Bakshi Chapter 5
Real-Time IoT-Based Online Analysis to Improve Performance of PV Solar System for Medical Emergencies Lokesh Varshney, Kanhaiya Kumar, Snigdha Sharma, and Dinesh Singh Chapter 6
Major Depressive Disorder Detection and Monitoring Using Smart Wearable Devices with Multi-Feature Sensing Shamla Mantri, Seema Nayak, Ritom Gupta, Pranav Bakre, Pratik Gorade, and Vign esh Iyer Chapter 7
IoT in the Healthcare Sector A.K. Awasthi, Sanjeev Kumar, and Arun Kumar Garov Chapter 8
The Role of IoT in Sustainable Healthcare Ashish Mulajkar, Sanjeet K Sinha, Vinod Bharat, Arundoy Lenka, and Govind Sing h Patel Chapter 9
EMG-Based Robot Control Human Interfaces for Hospitals Govind Sing h Patel, Dhiraj Gupta, Baibaswata Mohapatra, and Sunil Kumar Chaudhary Chapter 10
Performance Analysis of Adaptive Cruise Control Using Arduino for Healthcare Manish Pakhira, Rupali Shrivastava, Vishesh Kumar Mishra, and Lokesh Varshney