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Full Description
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 data's 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.
Contents
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 Subject's 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
