Leveraging Artificial Intelligence for Early Detection of Mental Health Disorders through Data Analysis

1. Introduction 1.1 Background and Motivation 1.2 Objectives of the Study 1.3 Structure of the Thesis 2. Literature Review 2.1 Overview of Mental Health Disorders 2.2 Artificial Intelligence in Healthcare 2.3 Data Analysis Techniques 3. Methodology 3.1 Research Design 3.2 Data Collection Methods 3.3 Analytical Framework 4. AI-Based Detection Models 4.1 Machine Learning Algorithms 4.2 Deep Learning Approaches 4.3 Model Comparison and Selection 5. Data Analysis 5.1 Data Preprocessing Techniques 5.2 Feature Extraction and Selection 5.3 Statistical Analysis 6. Results 6.1 Model Performance Evaluation 6.2 Key Findings and Patterns 6.3 Discussion of Results 7. Discussion 7.1 Implications for Mental Health Diagnosis 7.2 Limitations of the Study 7.3 Future Research Directions 8. Conclusion 8.1 Summary of Findings 8.2 Contributions to the Field 8.3 Final Remarks