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AI Model Design and Data Management for Disease Prediction

By Anandhavalli Muniasamy

AI Model Design and Data Management for Disease Prediction Medicine

AI Model Design and Data Management for Disease Prediction

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
466
Release Date:
2025-07-04
Publication Date:
2025-07-09
Publisher:
IGI Global
Languages:
Original: English
ISBN13:
9798337351384
Weight:
869 g
Height:
178 cm
Width:
254 cm
Thickness:
25 cm
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