Artificial Intelligence and the Extraction of Health Oriented Patterns

This book explores how modern AI techniques-such as natural language processing, semantic modelling, and pattern recognition-can be applied to both Qur'anic verses and classical or contemporary medical literature to identify health-related insights. The book examines methodological frameworks for text mining, cross-domain knowledge mapping, and contextual interpretation, aiming to bridge spiritual guidance with empirical biomedical data. It discusses challenges such as linguistic ambiguity, historical context, epistemological boundaries, and ethical considerations in algorithmic interpretation. By integrating computational analytics with interdisciplinary scholarship, the work proposes structured models for detecting recurring health themes, dietary principles, preventive practices, and holistic wellness concepts embedded in religious and medical sources.

Pages: 96, Paperback, Scholars' Press