Advancing Healthcare through Data-driven Innovations (eBook, ePUB)

Redaktion: Rehani, Gunjan; Jain, Vibha; Gupta, Aditya

• Format: ePub

Produktbeschreibung

"Advancing Healthcare through Data-Driven Innovations" explores how technologies like data analytics, big data, machine learning, and blockchain can revolutionize healthcare.

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Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 19. Dezember 2024
• Englisch
• ISBN-13: 9781040302811
• Artikelnr.: 72287163

Autorenporträt

Dr. Gunjan is an Assistant Professor at the National Institute of Technology, Delhi, India. She received her Bachelor's in Technology in 2012 from Maharishi Dayanand University, Haryana, India, and her Masters in Technology from the National Institute of Technology, Jalandhar, India, in 2014. She has completed her Ph.D. in Computer Science and Engineering from the National Institute of Technology, Delhi, India. Her research interests lie in the domains of Energy techniques in Wireless Sensor Networks, Machine Learning, and Health Informatics. Dr. Aditya Gupta is an Assistant Professor at Thapar Institute of Engineering and Technology, Patiala, Punjab, India known for his research in big data analytics, machine learning, health informatics, and blockchain. He has completed his doctoral studies at Dr B R Ambedkar National Institute of Technology, Jalandhar, India. He has published several papers in reputable international journals and completed many government-sponsored research projects. Dr. Gupta's work has significantly impacted various sectors, particularly in healthcare, where he has developed advanced health informatics systems. His expertise and dedication to research have earned him recognition as an accomplished academic and mentor. Dr. Vibha Jain is an Assistant Professor at Thapar Institute of Engineering and Technology in Patiala, Punjab, India. She completed her Ph.D. from Netaji Subhas University of Technology in New Delhi and her Master of Technology from the National Institute of Technology in Hamirpur, India, in 2018, where she was a gold medalist. She has published papers in reputed international journals and is currently working on edge/fog computing, blockchain, and machine learning for medical diagnosis.

Inhaltsangabe

Preface. Big Data's Impact on Healthcare Transformation. Artificial
Intelligence and Machine Learning Approaches for Healthcare. Predictive
Analytics Tools and Techniques for Disease Prevention and Early Detection
in Healthcare Sector. Machine Learning-Based Analysis for Detection of
Pancreatic Adenocarcinoma Using Urinary Biomarkers. Gland Segmentation in
Colon Histology Images Using Deep Learning Method. Comparative Analysis for
Detecting Cancer in Various Organs using Cellular Automata based
Segmentation Technique. Convolutional Neural Networks and Transfer Learning
for Medical Image Analysis: A Comprehensive Review. Multi-Objective
Optimisation Enabled Improved Feature Selection. IoT-Blockchain in Remote
Pregnancy Care Coordination. Strengthening Healthcare Data Security and
Privacy. The Future of Healthcare: Data-driven Trends and Innovation.
Index.