Hardcover. 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. "This book 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 such as EHRs, medical imaging, and genomic data, analyzed through AI algorithms to enhance patient outcomes and operational efficiency"-- Provided by publisher. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Bibliographic Details

Title: Optimizing Patient Outcomes Through Multi-Source Data Analysis in Healthcare (Hardcover)
Publisher: IGI Global
Publication Date: 2025
Language: English
ISBN 13: 9798369394205
Binding: Hardcover
Condition: new

About this title

Synopsis

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.

About the Authors

|Ferdin Joe John Joseph - Editor|Dr Ferdin Joe John Joseph is currently an Assistant Professor with the faculty of information technology, Thai Nichi Institute of technology Bangkok. He graduated his bachelor and masters degrees in computer science and engineering from Anna University Chennai during 2009 and 2011 respectively. He got his PhD in Computer Science and Information Systems from the National Institute of Development Administration Bangkok during 2015. His area of research includes deep learning, IoT and Blockchain technology. He has nearly a decade experience in teaching. He has published in peer reviewed international conferences and journals. He is certified as the "Most Valuable Professional" (MVP) with Alibaba Cloud since 2021. He is teaching as per academic curriculum to students, recognizing, nurturing the creative potential of each student. Teach students using a systematic instructional methodology comprising lecture plans (following the credit allotted to each subject), discussion groups, seminars, case studies, field assignments, and independent and/or group projects. Recently, he has been the technique program committee, the technique reviews, and the track chair for international conferences published by Springer Series. He is serving in the editor in chief, the editorial board of international journals, and he authored/edited different books and filed so many Patents. Finally, he is a member of ISTE, IET, Etc…

|Karthikeyan Chinnusamy - Editor|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.

|Joseph Jeganathan - Editor|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 Faculty Member at Dept. of Computer Science and Mathematics Faculty of Computer Science and Mathematics University of Kufa, Iraq 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 design, 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 Consultation Center (SICC), at the University of Kufa, Iraq. His main line of research is Web mining Techniques and Applications, Image processing in Web Platforms, Image processing, Genetic Algorithms, information theory, and Medical Health Applications. Ahmed J. is an Associated Editor in the Brazilian Journal of Operations & Production Management (BJO&PM) and an Editorial Board member in the International Journal of Advance Study and Research Work (IJASRW), Journal of Research in Engineering and Applied Sciences(JREAS), GRD Journal for Engineering (GRDJE), International Research Journal of Multidisciplinary Science & Technology (IRJMST), The International Journal of Technology Information and Computer (IJTIC), Career Point International Journal Research (CPIJR). Ahmed J. was an Editor in Many International Conferences such as ISCPS_2020, MAICT_2020, IHICPS_2020, IICESAT_2021, IICPS_2020, ICPAS_2021, etc. (Scopus Indexed Conferences). He has edited Some books, such as Advance Material Science and Engineering (ISBN: 9783035736779, Scientific.net publisher), Computational Intelligence Techniques for Combating COVID-19 (ISBN: 978-3-030-68936-0 EAI/Springer), A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems (ISBN: 978-3-030-76653-5 Springer). Ahmed J. has supervised several final projects for Bachelor's and Master's in his main line of work and authored and co-authored several scientific publications in journals, Books, and conferences with more than 75+ Journal Research Articles, 5+ book Chapters, 15+ Conference papers, 10+ Conference proceedings, 8+ Books Editing, 2+ Patent. Ahmed J. is also a Reviewer in many Scopus, SCI, and ESCI Journals e.g., CMC, IETE, IJAACS, IJIPM, IJKBD, IJBSR, IET, IJUFKS, and many others. Dr. Ahmed attended and participated as Keynote Speakers (60+ Conferences), Webinars (10+), and Session Chairs (10+),

S. Suman Rajest is the Dean of Research and Development (R&D) and 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 at 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 400 papers 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 conferences. He also reviews Inderscience, EAI Journals, IGI Global, Science Publications, etc.…

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