Optimizing Patient Outcomes Through Multi-Source Data Analysis in Healthcare
Language: English
Published by IGI Global, 2025
- Hardcover
- New

Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 314.68
Quantity: 1 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - The landscape of healthcare is transformed by the integration of advanced data analytics, especially in the realm of multi-source data analysis. By combining diverse datasets, such as electronic health records (EHRs), genetic information, wearable device data, and patient-reported outcomes, healthcare providers can gain a comprehensive understanding of a patient's health status. This approach creates more personalized treatment plans, enhances diagnostic accuracy, and supports early detection of potential health issues. Communication between various data sources allows for the identification of hidden trends and patterns, improving predictive capabilities and optimizing patient outcomes. As healthcare systems adopt this data-driven process, it is crucial to address challenges related to data privacy, integration, and the interpretation of complex datasets, ensuring the potential benefits of multi-source data analysis are realized in ethical and effective ways. Optimizing Patient Outcomes Through Multi-Source Data Analysis in Healthcare explores the transformative potential of big data and AI in healthcare, focusing on informed decision-making. It delves into the integration of vast, diverse datasets, analyzed through AI algorithms to enhance patient outcomes and operational efficiency. This book covers topics such as automation, machine learning, and neural networks, and is a useful resource for healthcare professionals, computer engineers, business owners, academicians, researchers, and data scientists.…
Seller Inventory # 9798369394205
- Title
- Optimizing Patient Outcomes Through Multi-Source Data Analysis in Healthcare
- Author
- Joseph Jeganathan
- Publisher
- IGI Global
- Publication year
- 2025
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 13
- 9798369394205
- Item weight
- 1,253 grams
- Dimensions
- 286x221x26 mm
"Synopsis" may belong to another edition of this title.
About the Author
Prof. Karthikeyan Chinnusamy , Sr Principal with more than 25 years of experience in IT, Product Dev, R&D and Education fields. Fellow IETE, Fellow IE, Sr Member IEEE,Sr Member ACM, Project management Institute (PMI), Reviewer, Editorial Board Member of R&D Journals. Board Member & Program Director SF DAMA. SME in Data Governance, GDPR, HIPAA Compliance, Data Management, Data Architecture, Master Data, Data Quality, AI/ML, Analytics and reporting in Payment processing, Customer, Finance, CRM and License domains. Mentor in SFDC Mig, Data.com, ERP, Architecture, R&D, Embedded systems, VLSI,Adv Information processing. I am also reviewer for IEEE Silicon Valley Sr Member Elevation and Speaker, Volunteer for SFBay ACM. Reviewer of Journals in Springer Nature.
Dr. Joseph Jeganathan earned his Ph.D. in Psychiatric Nursing from Rajiv Gandhi University of Health Sciences, National Consortium for Ph.D. Nursing, (Indian Nursing Council), Bangalore, Karnataka, India in 2019. He completed his Postgraduate studies at the National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India 2011. He is working as an assistant professor in the Mental Health Nursing Department at the University of Bahrain, Kingdom of Bahrain. He has more than 16 years of Undergraduate and Postgraduate teaching experience. He has worked as a Professor at SGT University, Gurugram, Dept. of Nursing, IES University, Bhopal; Associate Professor Akal College of Nursing, Eternal University, Baru Sahib, India; and also worked as a teaching faculty in various nursing colleges in India and Nepal. Dr. Joseph Jeganathan has published many research articles in National and international Nursing Journals. His areas of research interest are Adolescent mental health, Life skills training, and Substance use disorders.
Ahmed J. Obaid , is a Asst. Professor at the Department of Computer Science, Faculty of Computer Science and Mathematics, University of Kufa, Iraq. Dr. Ahmed holds a Bachelor's in Computer Science, a degree in – Information Systems from the College of Computers, University of Anbar, Iraq (2001-2005), and a Master's Degree (M. TECH) in Computer Science Engineering (CSE) from School of Information Technology, Jawaharlal Nehru Technological University, Hyderabad, India (2010-2013), and a Doctor of Philosophy (Ph.D.) in Web Mining from College of Information Technology, University of Babylon, Iraq (2013-2017). He is a Certified Web Mining Consultant with over 14 years of experience working as a Faculty Member at the University of Kufa, Iraq. He has taught courses in Web Designing, Web Scripting, JavaScript, VB.Net, MATLAB Toolbox, and other courses on PHP, CMC, and DHTML from more than 10 international organizations and institutes in the USA, and India. Dr. Ahmed is a member of the Statistical and Information Cons
S. Suman Rajest is currently working as Dean of Research and Development (R&D) & International Student Affairs (ISA) at Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. He is an Editor in Chief of the International Journal of Human Computing Studies and The International Journal of Social Sciences World, He is the Chief Executive Editor of the International Journal of Advanced Engineering Research and Science, International Journal of Advanced Engineering, Management and Science, The International Journal of Health and Medicines, The International Journal of Management Economy and Accounting Fields and The International Journal of Technology Information and Computer and also he is an Editorial Board Member in International Journal of Management in Education, Scopus, Inderscience, EAI Endorsed Transactions on e-Learning, and Bulletin of the Karaganda university Pedagogy series. He is also a Book Series Editor in IGI Global Publisher, Springer, etc. All of his writing, including his research, involves elements of creative nonfiction in the Human Computing learning system. He is also interested in creative writing and digital media, Learning, AI, student health learning, etc. He has published 500 in peer-reviewed international journals. He has authored and co-authored several scientific book publications in journals and conferences and is a frequent reviewer of international journals and international conferences and also, he is also a reviewer in Inderscience, EAI Journals, IGI Global, Science Publications, etc.
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