Cardiometabolic Archives

Diabetes Therapy: Application of Machine Learning Models to Evaluate Hypoglycemia Risk in Type 2 Diabetes

by Caitlin Nicholson | Feb 24, 2020 | Articles, Cardiometabolic, Causal, Featured Posts, Journals

Luke Mueller, Paulos Berhanu, Jonathan Bouchard, Veronica Alas, Kenneth Elder, Ngoc Thai, Cody Hitchcock, Tiffany Hadzi, Iya Khalil, Lesley-Ann Miller-Wilson

Accurate Prediction of Clinical Disease Progression in Patients With Advanced Fibrosis Due to NASH using a Bayesian Machine Learning Approach

by Caitlin Nicholson | Apr 6, 2018 | Articles, Cardiometabolic, Clinical Trials, Posters

Latourelle J, Tu J, Das R, Furchtgott L, Schoeberl B, Smiechowski B, Church B, Khalil I, Hayete B, Djedjos S, Nguyen T, Xiao Y, Aguilar R, Chen G, Subramnian, Myers R, Ratziu V, Nezam A, Bosch, Goodman Z, Harrison S, Sanyal A. The International Liver Congress™. Paris,...

Machine Learning Methodology Identifies Predictors of a Cardiovascular Composite Measure Among Severe Peripheral Artery Disease Patients

by Caitlin Nicholson | Nov 10, 2017 | Articles, Cardiometabolic, Market Access/HEOR, Posters, Predictive

Ting W, Haskell L, Lurie F, Berger JS, Eapen Z, Valko M, Alas V, Rich K, Crivera C, Schein J, AHA Scientific Sessions 2016. 14448

Diabetes Therapy: Application of Machine Learning Models to Evaluate Hypoglycemia Risk in Type 2 Diabetes

Accurate Prediction of Clinical Disease Progression in Patients With Advanced Fibrosis Due to NASH using a Bayesian Machine Learning Approach

Machine Learning Methodology Identifies Predictors of a Cardiovascular Composite Measure Among Severe Peripheral Artery Disease Patients

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