کتاب Artificial Intelligence and the Extraction of Health-Oriented Patterns from Qur’anic and Medical Texts

Chapter 1 4
When Text Becomes Health Knowledge 4
Why Health Knowledge Still Lives in Text 4
Qur’anic Discourse and Medical Narratives: Two Knowledge Worlds 8
From Reading to Mining: The Limits of Human-Centered Analysis 11
The Emergence of Text-Centered Health Intelligence 14
Defining the Core Research Question of the Book 17
Chapter 2 21
Health as a Concept Across Sacred and Clinical Texts 21
Holistic Health in the Qur’anic Worldview 21
The Evolution of Health Concepts in Medical Literature 23
Prevention, Balance, and Healing as Shared Themes 27
Semantic Ambiguity in Religious and Medical Language 30
Toward a Unified Health Conceptual Framework 32
Chapter 3 37
Three: Transforming Text into Data 37
Selecting Qur’anic and Medical Textual Sources 37
Digitization, Normalization, and Text Cleaning 40
Health-Oriented Annotation Strategies 42
Linguistic Challenges: Classical Arabic vs. Medical Language 45
Building Interdisciplinary Text Corpora 47
Chapter 4 51
Artificial Intelligence as a Tool for Meaning Discovery 51
Natural Language Processing for Health Analysis 51
Language Models and Deep Text Understanding 55
Machine Learning for Pattern Recognition 58
Context-Aware Analysis in Complex Texts 62
Technical Constraints and Model Limitations 66
Chapter 5 70
Discovering Health Patterns in the Qur’an 70
Physical, Mental, and Spiritual Health Dimensions 70
Preventive Health Signals in Qur’anic Language 73
Lifestyle, Nutrition, and Balance in the Text 76
Network Analysis of Health-Related Concepts 79
Computational Validation of Extracted Patterns 82
References 86