Developing machine learning models for non-invasive digital health wearables

Description

Summary

• A review on feature selection, biomarker identification, and disease prediction Introduction Precision Medicine, combined with big health data, has presented an opportunity in health monitoring that lets people take more control of their health.
• For disease prediction, recall is especially important because all resources in the prediction are allocated to ensure everyone with the condition is identified.
• The features that add to the probability and hence increase the chances of some not being diabetic include age, ICU _los_days, WBC etc.
• As seen in the prediction the top two predictors of diabetes are glucose and BMI, which can both be changed through lifestyle adjustments.