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Chronic Conditions

Overview of prediction pipeline and models used across prediction tasks. We specified 3 modelling tasks for predicting premature death among people with inflammatory bowel disease (IBD). We then used 3 types of models, namely logistic regression, random forest, and Extreme Gradient Boosting (XGBoost); XGBoost was the only model used for task 3 as it enabled direct modelling of missing data (those without conditions would have missing data). See Related Content for accessible version. Note: CCS = chronic coronary syndrome, CHF = congestive heart failure, COPD = chronic obstructive pulmonary disease, ED = emergency department, HTN = hypertension, MI = myocardial infarction, RA = rheumatoid arthritis.

AI Finds Nearly Half of IBD Patients Die Prematurely

Study highlights pervasiveness of inflammation in American diet

Study highlights pervasiveness of inflammation in American diet

Sicker Americans are sticking with Medicare managed care plans

A shaking hand

Conditions like celiac disease, Parkinson’s could be detected 10 years earlier

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