Data-Driven Analytics for Healthcare (eBook, PDF)

Artificial Intelligence and Machine Learning for Medical Diagnostics
Redaktion: Sharma, Meghna; Amine, Abdelmalek; Singh, Chitra; Kumar, A. V. Senthil; Vashisht, Priyanka

• Format: PDF

Produktbeschreibung

Discusses various solutions for the diagnosis of patients with the help of automated processes using artificial intelligence techniques and technology. Highlights the possibilities of artificial intelligence, machine learning, and deep learning techniques and various tools to correctly diagnose various medical problems.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 290
• Erscheinungstermin: 10. Februar 2025
• Englisch
• ISBN-13: 9781040229484
• Artikelnr.: 72272393

Autorenporträt

Meghna Sharma, PhD, is an Associate Professor and Data Science Specialisation Lead in the Department of Computer Science and Engineering at The NorthCap University, Gurugram, India. She has more than 20 years of teaching, research, and administration experience. She earlier worked as a scientist in the Control Systems Group, ISRO Satellite Center, Bangalore. She is a recipient of "Award for Science" conferred by Govt. of Haryana. She has published 35 research papers and three international patents and two national patents in the AI domain. Priyanka Vashisht, PhD, is an Associate Professor of Computer Science and Engineering at Amity University Haryana, Gurugram, India. She has more than 19 years of teaching, research, and administration experience. She is a faculty sponsor for the ACM Students Chapter. She has published many research papers in journals and conferences as well as book chapters. She has two Indian and two international patents in her name. She has chaired international conferences and is a reviewer for many national and international conferences and journals. A. V. Senthil Kumar, PhD, has five years of industrial experience and 27 years of teaching experience. He has published book chapters, papers in international and national journals and conferences, and several edited books. He is an Associate Editor of IEEE Access and a key member for the Machine Intelligence Research Lab, India. Professor Kumar is an editorial board member and reviewer for various international journals. He is also a committee member for various international conferences. Chitra Singh, PhD, is a Professor of Chemistry Education and Environmental Education, National Council of Educational Research and Training, Bhopal, Madhya Pradesh, India, for more than 22 years. Dr. Singh has published more than 40 papers in various journals, completed eight research projects, conducted 25 training programs, and developed 20 curriculum materials. Abdelmalek Amine, PhD, is a Professor of Computer Science at the University of Saida Dr. Moulay Tahar, Algeria, where he is also Director of the Knowledge Management and Complex Data Laboratory and Vice Rector of External Relations and Cooperation. His research interests include big data, IoT, data mining, text mining, ontology, classification, clustering, neural networks, and biomimetic optimization methods. He has several publications in the field of AI and is on the editorial boards of eminent international journals.

Inhaltsangabe

Introduction 1. Predictive and Descriptive Analytics in Healthcare 2.
Biomimetics and Mind-Machine Interface: The Human Brain as a Quantum
Computer 3. The Inevitable Artificial Intelligence Revolution in Healthcare
4. Object Detection Approach for Pneumonia Detection Using X-Ray Images 5.
Corona Tracker: An Application for Monitoring and Tracking Corona Disease
6. Investigation on Diagnosing Irregularities in Endodontic Applications
Using Deep Learning Methods 7. Teknomo-Fernandez Kernelized Discriminant
Analysis-Based Connectionist Deep Multilayer Perceptive Neural Learning for
Human Activity Recognition 8. Transforming Healthcare with AI: An Adequate
Method for Diabetes Prediction Using Machine Learning Techniques 9. A
Survey on Artificial Intelligence and Machine Learning Approaches for
Medical Data Authentication 10. Data-Driven Analytics for Healthcare:
Artificial Intelligence and Machine Learning for Medical Diagnostics 11.
M-Blockchain: A Futuristic Approach for Healthcare 12. Blockchain in
Healthcare: Evolution, Applications, and Challenges