Download PDFOpen PDF in browserLeveraging AI to Forecast and Prevent Chronic DiseasesEasyChair Preprint 1441112 pages•Date: August 12, 2024AbstractPredictive analytics, powered by artificial intelligence (AI), is revolutionizing preventive healthcare by offering advanced tools to forecast and mitigate chronic diseases. This abstract explores the transformative potential of AI-driven predictive analytics in preventive healthcare, emphasizing its role in early disease detection, risk assessment, and intervention strategies. AI algorithms, by analyzing vast amounts of patient data—ranging from electronic health records to genetic information—can identify patterns and predict the likelihood of chronic conditions such as diabetes, cardiovascular diseases, and cancer. This proactive approach enables healthcare providers to implement targeted interventions, lifestyle modifications, and personalized treatment plans before symptoms arise, thereby improving patient outcomes and reducing healthcare costs. Keyphrases: 1. **Predictive Analytics**, 10. **Cardiovascular Risk**, 11. **Cancer Screening**, 12. **Health Interventions**, 13. **Wearable Devices**, 14. **Electronic Health Records (EHRs)**, 15. **Data Privacy**, 16. **Data Security**, 17. **Accuracy of Predictions**, 18. **Healthcare Cost Savings**, 19. **Patient Outcomes**, 2. **Artificial Intelligence (AI)**, 20. **Global Health Impact**, 21. **Healthcare Technology Integration**, 22. **Health Data Integration**, 23. **Bias in AI**, 24. **Equitable Access to Healthcare**, 25. **Preventive Care Strategies**, 26. **Predictive Algorithms**, 27. **Health Monitoring**, 28. **Behavioral Modification**, 29. **Precision Medicine**, 3. **Chronic Disease Prevention**, 30. **Health Risk Models**, 4. **Risk Assessment**, 5. **Machine Learning**, 6. **Healthcare Data Analytics**, 7. **Early Detection**, 8. **Personalized Medicine**, 9. **Diabetes Prediction**
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