Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project

Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project

(2017) Manal Alghamdi et al.   PLoS One

Cardiorespiratory Fitness and Incident Diabetes: The FIT (Henry Ford ExercIse Testing) Project

(2015) Stephen P. Juraschek et al.   DIABETES CARE

Liberal versus restrictive blood transfusion strategy: 3-year survival and cause of death results from the FOCUS randomised controlled trial

(2015) Jeffrey L Carson et al.   LANCET

Rationale and Design of the Henry Ford ExercIse Testing Project (The FIT Project)

(2014) Mouaz H. Al-Mallah et al.   CLINICAL CARDIOLOGY

Vitamin D and risk of cause specific death: systematic review and meta-analysis of observational cohort and randomised intervention studies

(2014) R. Chowdhury et al.   BMJ-British Medical Journal

Physical Fitness and Hypertension in a Population at Risk for Cardiovascular Disease: The Henry Ford ExercIse Testing (FIT) Project

(2014) Stephen P. Juraschek et al.   Journal of the American Heart Association

Risk Models to Predict Hypertension: A Systematic Review

(2013) Justin B. Echouffo-Tcheugui et al.   PLoS One

Machine Learning in Medicine: A Primer for Physicians

(2010) Akbar K Waljee et al.   AMERICAN JOURNAL OF GASTROENTEROLOGY

Feature selection for the SVM: An application to hypertension diagnosis

(2006) Chao-Ton Su et al.   EXPERT SYSTEMS WITH APPLICATIONS