Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study

Machine learning model to predict mental health crises from electronic health records

(2022) Roger Garriga et al.   NATURE MEDICINE

Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes

(2022) Thomas Zueger et al.   Diabetes Technology & Therapeutics

Prediction models of diabetes complications: a scoping review

(2022) Ruth Ndjaboue et al.   JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH

11. Chronic Kidney Disease and Risk Management: Standards of Medical Care in Diabetes—2022

(2021)   DIABETES CARE

Analyzing Patient Trajectories With Artificial Intelligence

(2021) Ahmed Allam et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Nationwide prediction of type 2 diabetes comorbidities

(2020) Piotr Dworzynski et al.   Scientific Reports

Early prediction of circulatory failure in the intensive care unit using machine learning

(2020) Stephanie L. Hyland et al.   NATURE MEDICINE

Association between pre-diabetes and microvascular and macrovascular disease in newly diagnosed type 2 diabetes

(2020) Raffaele Palladino et al.   BMJ Open Diabetes Research & Care

Predicting complications of diabetes mellitus using advanced machine learning algorithms

(2020) Branimir Ljubic et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist

(2020) Beau Norgeot et al.   NATURE MEDICINE

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

(2019) Evangelia Christodoulou et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Diabetic neuropathy

(2019) Eva L. Feldman et al.   Nature Reviews Disease Primers

Machine Learning to Predict the Risk of Incident Heart Failure Hospitalization Among Patients With Diabetes: The WATCH-DM Risk Score

(2019) Matthew W. Segar et al.   DIABETES CARE

Discrimination and Calibration of Clinical Prediction Models

(2017) Ana Carolina Alba et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Development and validation of Risk Equations for Complications Of type 2 Diabetes (RECODe) using individual participant data from randomised trials

(2017) Sanjay Basu et al.   Lancet Diabetes & Endocrinology

Prediabetes as a toxic environment for the initiation of microvascular and macrovascular complications

(2016) Ben Brannick et al.   EXPERIMENTAL BIOLOGY AND MEDICINE

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement

(2015) Gary S. Collins et al.   ANNALS OF INTERNAL MEDICINE

Epidemiology of Peripheral Artery Disease

(2015) M. H. Criqui et al.   CIRCULATION RESEARCH

Impact of age, age at diagnosis and duration of diabetes on the risk of macrovascular and microvascular complications and death in type 2 diabetes

(2014) Sophia Zoungas et al.   DIABETOLOGIA

Machine learning for neuroimaging with scikit-learn

(2014) Alexandre Abraham et al.   Frontiers in Neuroinformatics

A New Equation to Estimate Glomerular Filtration Rate

(2013) Andrew S. Levey et al.   ANNALS OF INTERNAL MEDICINE

Predicting Macro- and Microvascular Complications in Type 2 Diabetes: The Japan Diabetes Complications Study/the Japanese Elderly Diabetes Intervention Trial risk engine

(2013) S. Tanaka et al.   DIABETES CARE

The Relative Merits of Population-Based and Targeted Prevention Strategies

(2008) DONNA M. ZULMAN et al.   MILBANK QUARTERLY

10-Year Follow-up of Intensive Glucose Control in Type 2 Diabetes

(2008) Rury R. Holman et al.   NEW ENGLAND JOURNAL OF MEDICINE

Epidemiology of Diabetes and Diabetes-Related Complications

(2008) Anjali D Deshpande et al.   PHYSICAL THERAPY