Singh H. Data Science for Effective Healthcare Systems 2023

Textbook in PDF format

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.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.
Big Data in Healthcare: Applications and Challenges
Impact Analysis of COVID-19 on Different Countries: A Big Data Approach
Overview of Image Processing Technology in Healthcare Systems
Artificial Intelligence to Fight against COVID-19 Coronavirus in Bharat
Classification-Based Prediction Techniques Using ML: A Perspective for Health Care
Deep Learning for Drug Discovery: Challenges and Opportunities
Issues and Challenges Associated with Machine Learning Tools for Health Care System
Real-Time Data Analysis of COVID-19 Vaccination Progress Over the World
Descriptive, Predictive, and Prescriptive Analytics in Healthcare
IoT Enabled Worker Health, Safety Monitoring and Visual Data Analytics
Prevalence of Nomophobia and Its Association with Text Neck Syndrome and Insomnia in Young Adults during COVID-19
The Role of AI, Fuzzy Logic System in Computational Biology and Bioinformatics
Analysis for Early Prediction of Diabetes in Healthcare Using Classification Techniques
Nomenclature of Machine Learning Algorithms and Their Applications
Breast Cancer Prognosis Using Machine Learning Approaches
Machine Learning-Based Active Contour Approach for the Recognition of Brain Tumor Progression
A Deep Neural Networks-Based Cost-Effective Framework for Diabetic Retinopathy Detection