Big data is a field of research that is growing rapidly, and as the Covid-19 crisis has shown, health care is an area that could benefit greatly from its increased use and application. Big data, as derived partly from the internet of things and analysed according to specific algorithms, has a large and beneficial role to play in preventative medicine, in monitoring the health of specific groups, and in improving diagnostics.
Big Data Analytics and Intelligence: A Perspective for Health Care focuses on various areas of health care, ranging from nutrition to cancer, and providing diverse perspectives on all of them. This book explores the entire life-cycle of big data, from information retrieval to analysis, and it shows how big datas applications can enhance, streamline and improve services for patients and health-care professionals. Each chapter focuses on a specific area of health care and how big data is applicable to it, with background and current examples provided.
Chapter
1. Big Data Analytics in Healthcare; Kalaiselvi K and
Thirumurthi Raja Chapter
2. A
Big Data Analytics in Health Sector: Need, Opportunities, Challenges and
Future Prospects; Anam and M. Israrul Haque
Chapter
3. Use of Classification Algorithms in Healthcare; Hera Khan, Ayush
Srivastav and Amit Kumar Mishra
Chapter
4. Big Data Analytics in Excelling Health Care: Achievement and
Challenges in India; Arindam Chakrabarty and Uday Sankar Das
Chapter
5. Predictive Big Data Analytics in Healthcare; Shivinder Nijjer,
Sahil Raj and Saurabh Kumar
Chapter
6. Smart Nursery with Health Monitoring System through Integration of
IoT and Machine Learning; Rashbir Singh, Prateek Singh and Latika Kharb
Chapter
7. Computer-aided big healthcare data (BHD) analytics; Tawseef Shaikh
and Rashid Ali
Chapter
8. Intrusion Detection and Security System; Prerna Sharma and Deepali
Kamthania
Chapter
9. Decision making with BI in Healthcare domain; Bhawna Suri, Shweta
Taneja and Hemanpreet Singh Kalsi
Chapter
10. Assistance for Facial Palsy using Quantitative Technology;
Gulpreet Kaur Chadha and Seema Rawat
Chapter
11. Constructive Effect of Ranking Optimal features using Random
Forest for Breast Cancer Diagnosis using Support Vector Machine and Naïve
Bayes Classifiers; Deepa G and Senthil S
Chapter
12. Intelligent Establishment of Correlation of TTH and Diabetes
Mellitus on Subjects Physical Characteristics: MMBD and ML Perspective in
Healthcare; Parul Singhal and Rohit Rastogi
Chapter
13. Machine Learning Model for Meal Classification and Assessing
Nutrients value according to Weather Conditions; Madhulika Bhatia, Shubham
Sharma, Madhurima
Hooda, Narayan C. Debnath
Chapter 14: Telehealth: Former, Today and Later; Madhulika
Bhatia, Shubham Chaudhary, Madhurima Hooda, Bhuvanesh Unhelkar
Chapter
15. Predictive Modelling in Health Care Data Analytics A
Sustainable Supervised Learning Technique; Suryakanthi Tangirala
Poonam Tanwar is Associate Professor at the Manav Rachna International Institute of Research & Studies, India.
Vishal Jain is Associate Professor at Bharati Vidyapeeths Institute of Computer Applications and Management, India.
Chuan-Ming Liu is Professor in the Department of Computer Science and Information Engineering (CSIE) at the National Taipei University of Technology, Taiwan.
Vishal Goyal is Professor in the Department of Computer Science at Punjabi University Patiala, India.
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