July 2025
Intermediate to advanced
288 pages
7h 48m
English
Content preview from Generative AI
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10Applying Fuzzy Data Science in Generative AI for Healthcare
Yogeesh N.
Department of Mathematics, Government First Grade College, Tumkur, Karnataka, India
Abstract
This chapter’s focus is on the ability to scale in healthcare by combining fuzzy data science with generative artificial intelligence (AI). A range of case studies demonstrates how these sophisticated methods have the potential to improve decision-making, increase diagnostic accuracy, and personalize treatments within the intrinsic uncertainties of medical data. This chapter provides a thorough introductory view of the methodologies, implementation, and realization of fuzzy data science in generative AI, focusing on its practical utility in real-world healthcare scenarios. Readers will also discover the practical benefits, challenges, and future directions of this new approach to healthcare service transformation through detailed analysis.
Data science combined with AI has two transformative technologies in healthcare, namely, fuzzy data science and generative AI, with innovative tools for diagnostics, personalized treatment planning, and disease management. We delve into an example implementation of the integration of fuzzy logic in generative AI: three detailed case studies: The case studies exemplify how these technologies use advanced datasets for better clinical decision-making, accurate disease forecasting, and personalized healthcare interventions. The most critical points are an insight into the dislike ...
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