AI Model Design and Data Management for Disease Prediction

Anandhavalli Muniasamy

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Hardback

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English

IGI Global
09 July 2025

Diseases & disorders; Data capture & analysis; Artificial intelligence

Summary
Details

The design of artificial intelligence (AI) models for disease prediction advances fields that combine medical expertise, data science, and computational power to improve diagnostic accuracy and patient outcomes. The design of predictive models is central to this process, tailored to analyze complex healthcare data. Effective data management in healthcare involves the collection, integration, and storage of high-quality clinical and biomedical datasets. Ensuring data privacy and addressing biases are challenges that must be navigated to develop reliable and ethical AI systems. Thoughtful model design and effective data management strategies may ensure earlier detection, personalized treatment, and better resource allocation in modern healthcare systems. AI Model Design and Data Management for Disease Prediction explores the integration of intelligent technologies into medical prediction and diagnosis. It examines the usage of AI for enhanced healthcare data management. This book covers topics such as data science, medical imaging, and prediction models, and is a useful resource for computer engineers, medical professionals, academicians, researchers, and data scientists.

Edited by: Anandhavalli Muniasamy
Imprint: IGI Global
Country of Publication: United States
Dimensions: Height: 254mm, Width: 178mm, Spine: 25mm
Weight: 1.021kg
ISBN: 9798337351377
Pages: 425
Publication Date: 09 July 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active