Personalized models utilize a variety of data sources including electronic health records (EHRs), genomic data, wearable technology, and patient-reported outcomes. Advanced computational techniques such as machine learning and artificial intelligence are used to analyze this vast amount of data. The integration of these diverse data types allows for a comprehensive understanding of an individual's health risks and potential outcomes.
