How is Data Collected for Personalized Predictions?
Data collection for personalized predictions involves multiple sources:
1. Electronic Health Records (EHRs): These contain detailed patient information, including medical history, diagnoses, medications, and lab results. 2. Genomic Data: Advances in genomics allow for the collection of DNA sequences, which can be used to understand genetic predispositions to diseases. 3. Wearable Devices: Devices such as fitness trackers and smartwatches provide continuous data on physical activity, heart rate, and sleep patterns. 4. Surveys and Questionnaires: Self-reported data on lifestyle, diet, and environmental exposures can add valuable context.
