Big Data Analytics and Intelligence

A Perspective for Health Care

Inbunden, Engelska, 2020

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2020-09-30
Mått:152 x 229 x 20 mm
Vikt:557 g
Format:Inbunden
Språk:Engelska
Antal sidor:312
Förlag:Emerald Publishing Limited
ISBN:9781839091001

Utforska kategorier

Databaser inom Data och IT
IT-säkerhet inom Data och IT

Mer om författaren

Poonam Tanwar is Associate Professor at the Manav Rachna International Institute of Research & Studies, India.Vishal Jain is Associate Professor at Bharati Vidyapeeth’s 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.

Innehållsförteckning

Chapter 1. Big Data Analytics in Healthcare; Kalaiselvi K and Thirumurthi Raja Chapter 2. ABig 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 AliChapter 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 KalsiChapter 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, MadhurimaHooda, Narayan C. Debnath Chapter 14: Telehealth: Former, Today and Later; MadhulikaBhatia, Shubham Chaudhary, Madhurima Hooda, Bhuvanesh UnhelkarChapter 15. Predictive Modelling in Health Care Data Analytics – A Sustainable Supervised Learning Technique; Suryakanthi Tangirala