1st Edition
Data Science for Effective Healthcare Systems
Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care domain have been studied to find possible solutions. In this period of COVID-19 pandemic data science and allied areas plays a vital role to deal with various aspect of health care. Image processing, detection & prevention from COVID-19 virus, drug discovery, early prediction, and prevention of diseases are some thrust areas where data science has proven to be indispensable.
Key Features:
The book offers comprehensive coverage of the most essential topics, including:
- Big Data Analytics, Applications & Challenges in Healthcare
- Descriptive, Predictive and Prescriptive Analytics in Healthcare
- Artificial Intelligence, Machine Learning, Deep Learning and IoT in Healthcare
- Data Science in Covid-19, Diabetes, Coronary Heart Diseases, Breast Cancer, Brain Tumor
The aim of this book is also to provide the future scope of these technologies in the health care domain. Last but not the least, this book will surely benefit research scholar, persons associated with healthcare, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain.
Contents
Preface............................................................................................................................................. vii
Editors...............................................................................................................................................ix
1. Big Data in Healthcare: Applications and Challenges....................................................1
Monika, Pradeep Kumar, and Sanjay Tyagi
2. Impact Analysis of COVID-19 on Different Countries: A Big Data Approach........ 15
Reema Lalit and Nitin Sharma
3. Overview of Image Processing Technology in Healthcare Systems...........................25
Ankit Singh and Sivanesan Dhandayuthapani
4. Artificial Intelligence to Fight against COVID-19 Coronavirus in Bharat................ 37
Pushpendra Kumar Verma and Preety
5. Classification-Based Prediction Techniques Using ML: A Perspective for
Health Care.............................................................................................................................43
Meenakshi Malik, Aditi Kaushik, and Rekha Khatana
6. Deep Learning for Drug Discovery: Challenges and Opportunities......................... 57
Aarti
7. Issues and Challenges Associated with Machine Learning Tools for Health
Care System............................................................................................................................ 69
Parul Chhabra and Pradeep Kumar Bhatia
8. Real-Time Data Analysis of COVID-19 Vaccination Progress Over the World.......79
Bijan Paul, Aditi Roy, Khan Raqib Mahmud, and Mohammad Rifat Rashid
9. Descriptive, Predictive, and Prescriptive Analytics in Healthcare.............................89
Kalimullah Lone and Shabir Ahmad Sofi
10. IOT Enabled Worker Health, Safety Monitoring and Visual Data Analytics........ 105
Selvaraj Kesavan, Subhash Almel, and B.S. Muralidhar
11. Prevalence of Nomophobia and Its Association with Text Neck Syndrome
and Insomnia in Young Adults during COVID-19...................................................... 117
Richa Hirendra Rai, Vishal Mehta, Pallavi, and Sachindra Pratap Singh
12. The Role of AI, Fuzzy Logic System in Computational Biology and
Bioinformatics...................................................................................................................... 133
A.H.M. Shahariar Parvez, Sadiq Iqbal, Subrato Bharati, Prajoy Podder,
Pinto Kumar Paul, and Aditya Khamparia
13. Analysis for Early Prediction of Diabetes in Healthcare Using Classification
Techniques............................................................................................................................ 149
Navneet Verma, Sukhdip Singh, and Devendra Prasad
14. Nomenclature of Machine Learning Algorithms and Their Applications............. 161
Ritu Aggarwal and Suneet Kumar
15. Breast Cancer Prognosis Using Machine Learning Approaches............................... 169
Nadeem Yousuf Khanday and Shabir Ahmad Sofi
16. Machine Learning-Based Active Contour Approach for the Recognition of
Brain Tumor Progression................................................................................................... 183
Amit Chopra, Dinesh C. Verma, and Rajneesh Gujral
17. A Deep Neural Networks-Based Cost-Effective Framework for Diabetic
Retinopathy Detection....................................................................................................... 199
Pawan Kumar Upadhyay, Siddharth Batra, and Sunny Dhama
Index.............................................................................................................................................. 213
Biography
Hari Singh; Dinesh Chander Verma
