Healthcare Solutions Using Machine Learning and Informatics

Focuses on fundamental concepts of gathering, processing, analyzing the dataset from rich healthcare and biomedical sources. Covers interdisciplinary techniques such as data science, deep learning, statistics, big data analytics, smart devices, computer vision and IoT.

List of contents

1. Introduction to Artificial Intelligence in Healthcare 2. Machine Learning in Radio Imagining 3. Solutions Using Machine Learning for Diabetes 4. A Highly Reliable Machine Learning Algorithm for Cardiovascular Disease Prediction 5. Machine Learning Algorithm for Industry Using Image Sensing 6. Solutions Using Machine Learning For COVID-19 7. Big Data Analytics in Healthcare Data Processing 8. Reliable Biomedical Applications Using AI Models 9. Disease Detection Using Imaging Sensors, Deep Learning and Machine Learning for Smart Farming 10. IoT Application for Healthcare 11. Machine Learning Algorithm for Diabetes Disease Prediction 12. Use of Machine Learning in Healthcare

About the author

Dr. Punit Gupta is an Associate Professor in the Department of Computer and Communication Engineering at Manipal University, Jaipur, India.
Dr. Dinesh Kumar Saini is a Professor in the Department of Computer and Communication Engineering at Manipal University, Jaipur, India.
Dr. Rohit Verma is affiliated with the INSIGHT Research Lab SFI, Dublin City University, Dublin, Ireland.

Product details

• Authors: Punit Kumar Saini Gupta
• Assisted by: Punit Gupta (Editor), Dinesh Kumar Saini (Editor), Verma Rohit (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 13.03.2025
• EAN: 9781032345222
• ISBN: 978-1-0-3234522-2
• No. of pages: 254
• Subjects: Natural sciences, medicine, IT, technology > Medicine > General; machine learning, MEDICAL / Health Care Delivery, COMPUTERS / Machine Theory, Mathematical theory of computation, Information technology: general issues, Health systems & services, Information technology: general topics, Health systems and services, COMPUTERS / Data Science / Machine Learning, Primary care medicine, primary health care, Medical and health informatics, Medical bioinformatics, MEDICAL / Informatics