Overview
As the healthcare industry continues to rely on data to enhance patient outcomes and streamline operations, artificial intelligence (AI) becomes a powerful tool for complex dataset analysis using improved speed and accuracy. From predictive modeling in disease outbreak management to personalized treatment plans for individual patient profiles, AI technologies are reshaping clinical decision-making and resource allocation. Harnessing the potential of machine learning and advanced analytics may allow healthcare providers to uncover insights that drive innovation, improve patient care, and optimize operational efficiency. AI-Driven Innovation in Healthcare Data Analytics explores the intersection of AI and healthcare data analytics. It examines the application of AI-driven techniques, including machine learning, deep learning, and data mining, in addressing complex challenges in healthcare management. This book covers topics such as data science, medical diagnosis, and patient care, and is a useful resource for healthcare professionals, data scientists, computer engineers, business owners, academicians, and researchers.
Full Product Details
Author: Leyla Özgür Polat ,
Olcay Polat
Publisher: IGI Global
Imprint: Medical Information Science Reference
ISBN: 9798369372784
Pages: 514
Publication Date: 27 November 2024
Audience:
College/higher education
,
Professional and scholarly
,
Tertiary & Higher Education
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: In Print
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Author Information
|Leyla Özgür Polat - Editor|Dr. Leyla Özgür Polat serves as an Assistant Professor in the Department of Management Information Systems at Pamukkale University, Turkey. She obtained her Bachelor's, MSc, and PhD degrees from the Department of Industrial Engineering at Pamukkale University. Her research interests encompass a broad spectrum, including decision-making techniques, green supply chain management, mathematical modeling, optimization, artificial intelligence, and management information systems. Olcay Polat received his Industrial Engineering PhD degree from the Technical University of Berlin (Germany) with the scholarship of German Academic Exchange Service (DAAD) in 2013. He has been working as an Professor in the Department of Industrial Engineering at Pamukkale University (Turkey). He has a special interest in supply chain management, logistics and transportation optimization, production management and risk management. He has been published more that 100 papers in respected journals, conference proceedings and books.
