Intelligent Systems in Healthcare and Disease Identification using Data Science

1. Auflage 2025
ISBN: 978-1-032-40665-7
Verlag: Taylor & Francis Ltd

Buch, Englisch, 292 Seiten, Format (B × H): 156 mm x 234 mm

The health technology has become a hot topic in academic research. It employs the theory of social networks into the different levels of the prediction and analysis and has brought new possibilities for the development of technology. This book is a descriptive summary of challenges and methods using disease identification with various case studies from diverse authors across the globe. One of the new buzzwords in healthcare sector that has become popular over years is health informatics. Healthcare professionals must deal with an increasing number of computers and computer programs in their daily work. With rapid growth of digital data, the role of analytics in healthcare has created a significant impact on healthcare professional’s life. Improvements in storage data, computational power and paral- lelization has also contributed to uptake this technology. This book is intended for use by researchers, health informatics professionals, academicians and undergraduate and postgraduate students interested in knowing more about health informatics. It aims to provide a brief overview about informatics, its history and area of practice, laws in health informatics, challenges and technologies in health informatics, applica- tion of informatics in various sectors and so on. Finally, the research avenues in health informatics along with some case studies are discussed.

Zielgruppe

Postgraduate and Undergraduate Advanced

Autoren/Hrsg.

C D, Divya

H L, Gururaj

A D, Radhika

Kumar V, Ravi

Hu, Yu-Chen

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Inhaltsverzeichnis

1. Basics of Health Informatics. 2. Foundation of Medical Data Sciences. 3. Fundamental and Technicalities of Big Data and Analytics. 4. Fundamentals of Health Informatics/Health Data Science. 5. Introduction to Disease Prediction. 6. Medical Record Management for Disease Management. 7. Prediction models for health care. 8. Application of Image Processing in Plant Diseases Detection. 9. Preprocessing sparse and commonly evolving standardized health records. 10. A Decision-Making System for Clinical Data.

Über Autor(innen)

H. L. Gururaj is currently working as Associate Professor, Department of Information Technology, Manipal Institute of Technology, Bengaluru, India. He holds a PhD degree in Computer Science and Engineering from Visvesvaraya Technological University, Belagavi, India. He is a professional member of ACM and works as ACM Distinguished Speaker. He is the founder of Wireless Internetworking Group (WiNG). He is a senior member of IEEE and lifetime member of ISTE and CSI. He has received a young scientist award from the Government of India. He has eight years of teaching experience at both the undergraduate and postgraduate level. His research interests include block chain technology, cyber security, wireless sensor network, ad- hoc networks, IOT, data mining, cloud computing and machine learning. He has guided 30 undergraduate students and 10 postgraduate students. He is an Editorial Board member of the International Journal of Block Chains and Cryptocurrencies (IJBC) and editor of EAI publishers. He has published more than 75 research papers including two ESCI publications in various international journals such in Science Citation Index, IEEE Access, Springer Book Chapter, Scopus, and UGC refereed journals. He has presented 20 papers at various international conferences. He has authored one book on network simulators. He worked as a reviewer for various journals and conferences.

A. D. Radhika has completed her M. Tech in Computer Science and Engineering from Visvesvaraya Technological University. She was working as Assistant Professor in the Department of Computer Science and Engineering at Vidyavardhaka College of Engineering Mysore, Karnataka. She is pursuing her PhD from Visvesvaraya Technological University. She has published nine research papers in various reputed international journals and conferences. Her areas of interest include artificial intelligence, data science, machine learning, and image processing.

C. D. Divya has completed M. Tech her in Computer Science and Engineering from Visvesvaraya Technological University. She is currently working as Assistant Professor in the Department of Computer Science and Engineering at Vidyavardhaka College of Engineering, Mysore, Karnataka. She is pursuing her PhD from Visvesvaraya Technological University. She has published 15 research papers in various reputed international journals and conferences. Her areas of interest include artificial intelligence, data science, machine learning, and image processing. She worked as reviewer for various journals and conferences.

V. Ravi Kumar is currently working as Dean in the Faculty of Computer Sciences, Vidyavardhaka College of Engineering, Mysuru, India. He received his PhD in Computer Science and Engineering from Visvesvaraya Technological University, Belagavi, India. He is a professional member of ACM and lifetime member of ISTE, IETE, and CSI. He has 16 years of teaching experience at both the undergraduate and postgraduate level. His research interests include block chain technology, data mining and machine learning. He has guided 50 undergraduate students and 18 postgraduate students. He is an Editorial Board member of the International Journal of Block Chains and Cryptocurrencies (IJBC). He has published more than 52 research papers including two ESCI publications in various international journals such in Science Citation Index, IEEE Access, Springer Book Chapter, Scopus, and UGC refereed journals. He has presented 20 papers at various international conferences. He worked as reviewer for various journals and conferences.

Yu- Chen Hu received his PhD in computer science and information engineering from the Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan in 1999. Currently, Dr. Hu is a professor in the Department of Computer Science and Information Management, Providence University, Sha- Lu, Taiwan. His research interests include image and signal processing, data compression, information hiding, information security, computer network, and machine learning.