Machine Learning for Predicting the 3-Year Risk of Incident Diabetes in Chinese Adults

Prediction of progression from pre‐diabetes to diabetes: Development and validation of a machine learning model

(2020) Avivit Cahn et al.   DIABETES-METABOLISM RESEARCH AND REVIEWS

Observational Study of Hydroxychloroquine in Hospitalized Patients with Covid-19

(2020) Joshua Geleris et al.   NEW ENGLAND JOURNAL OF MEDICINE

Machine learning for characterizing risk of type 2 diabetes mellitus in a rural Chinese population: the Henan Rural Cohort Study

(2020) Liying Zhang et al.   Scientific Reports

Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: national cross sectional study

(2020) Yongze Li et al.   BMJ-British Medical Journal

Prediction and Risk Stratification of Kidney Outcomes in IgA Nephropathy

(2019) Tingyu Chen et al.   AMERICAN JOURNAL OF KIDNEY DISEASES

Neural network models and deep learning

(2019) Nikolaus Kriegeskorte et al.   CURRENT BIOLOGY

Comparison and development of machine learning tools in the prediction of chronic kidney disease progression

(2019) Jing Xiao et al.   Journal of Translational Medicine

Big data and machine learning algorithms for health-care delivery

(2019) Kee Yuan Ngiam et al.   LANCET ONCOLOGY

Diabetic neuropathy

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

Five-Feature Model for Developing the Classifier for Synergistic vs. Antagonistic Drug Combinations Built by XGBoost

(2019) Xiangjun Ji et al.   Frontiers in Genetics

Machine Learning Models in Type 2 Diabetes Risk Prediction: Results from a Cross-sectional Retrospective Study in Chinese Adults

(2019) Xiao-lu Xiong et al.   Current Medical Science

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

Nomogram prediction for the 3-year risk of type 2 diabetes in healthy mainland China residents

(2019) Kun Wang et al.   EPMA Journal

Evaluation of single-cell classifiers for single-cell RNA sequencing data sets

(2019) Xinlei Zhao et al.   BRIEFINGS IN BIOINFORMATICS

Prognostic Modeling and Prevention of Diabetes Using Machine Learning Technique

(2019) Sajida Perveen et al.   Scientific Reports

A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning

(2019) Maurizio Polano et al.   Cancers

End-to-End Ensemble Learning by Exploiting the Correlation Between Individuals and Weights

(2019) Shasha Mao et al.   IEEE Transactions on Cybernetics

Machine Learning Approaches for Clinical Psychology and Psychiatry

(2018) Dominic B. Dwyer et al.   Annual Review of Clinical Psychology

Next-Generation Machine Learning for Biological Networks

(2018) Diogo M. Camacho et al.   CELL

Predictive Variables for Failure in Administration of Intrapleural Tissue Plasminogen Activator/Deoxyribonuclease in Patients With Complicated Parapneumonic Effusions/Empyema

(2018) Danai Khemasuwan et al.   CHEST

IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045

(2018) N.H. Cho et al.   DIABETES RESEARCH AND CLINICAL PRACTICE

Ectopic fat obesity presents the greatest risk for incident type 2 diabetes: a population-based longitudinal study

(2018) Takuro Okamura et al.   INTERNATIONAL JOURNAL OF OBESITY

Optimizing Kernel Machines Using Deep Learning

(2018) Huan Song et al.   IEEE Transactions on Neural Networks and Learning Systems

Association of body mass index and age with incident diabetes in Chinese adults: a population-based cohort study

(2018) Ying Chen et al.   BMJ Open

SGLT2 inhibitors for primary and secondary prevention of cardiovascular and renal outcomes in type 2 diabetes: a systematic review and meta-analysis of cardiovascular outcome trials

(2018) Thomas A Zelniker et al.   LANCET

Predicting Diabetes Mellitus With Machine Learning Techniques

(2018) Quan Zou et al.   Frontiers in Genetics

Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients

(2018) Amirhessam Tahmassebi et al.   INVESTIGATIVE RADIOLOGY

Evaluating Causality of Gut Microbiota in Obesity and Diabetes in Humans

(2017) Abraham S Meijnikman et al.   ENDOCRINE REVIEWS

Metabolic Surgery in the Treatment Algorithm for Type 2 Diabetes

(2017) Juan P. Brito et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

3 years of liraglutide versus placebo for type 2 diabetes risk reduction and weight management in individuals with prediabetes: a randomised, double-blind trial

(2017) Carel W le Roux et al.   LANCET

Global aetiology and epidemiology of type 2 diabetes mellitus and its complications

(2017) Yan Zheng et al.   Nature Reviews Endocrinology

Deep neural mapping support vector machines

(2017) Yujian Li et al.   NEURAL NETWORKS

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

(2017) Manal Alghamdi et al.   PLoS One

Effect of exenatide after short-time intensive insulin therapy on glycaemic remission maintenance in type 2 diabetes patients: a randomized controlled trial

(2017) Xiulin Shi et al.   Scientific Reports

Cerebrovascular complications of diabetes: focus on cognitive dysfunction

(2016) T. Hardigan et al.   CLINICAL SCIENCE

A Predictive Metabolic Signature for the Transition From Gestational Diabetes Mellitus to Type 2 Diabetes

(2016) Amina Allalou et al.   DIABETES

Extreme Learning Machine for Multilayer Perceptron

(2016) Jiexiong Tang et al.   IEEE Transactions on Neural Networks and Learning Systems

Identification of Type 2 Diabetes Risk Factors Using Phenotypes Consisting of Anthropometry and Triglycerides based on Machine Learning

(2016) Bum Ju Lee et al.   IEEE Journal of Biomedical and Health Informatics

Nomogram for Preoperative Estimation of Microvascular Invasion Risk in Hepatitis B Virus–Related Hepatocellular Carcinoma Within the Milan Criteria

(2016) Zhengqing Lei et al.   JAMA Surgery

Screening for Type 2 Diabetes Mellitus: A Systematic Review for the U.S. Preventive Services Task Force

(2015) Shelley Selph et al.   ANNALS OF INTERNAL MEDICINE

Decision Curve Analysis

(2015) Mark Fitzgerald et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Machine learning applications in genetics and genomics

(2015) Maxwell W. Libbrecht et al.   NATURE REVIEWS GENETICS

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement

(2015) G. S. Collins et al.   BMJ-British Medical Journal

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement

(2015) G. S. Collins et al.   BMJ-British Medical Journal

Diabetic kidney disease

(2015) Merlin C. Thomas et al.   Nature Reviews Disease Primers

Diabetic dyslipidemia

(2014) Liya Wu et al.   METABOLISM-CLINICAL AND EXPERIMENTAL

Predictive models to assess risk of type 2 diabetes, hypertension and comorbidity: machine-learning algorithms and validation using national health data from Kuwait—a cohort study

(2013) Bassam Farran et al.   BMJ Open

Non-invasive risk scores for prediction of type 2 diabetes (EPIC-InterAct): a validation of existing models

(2013) Andre Pascal Kengne et al.   Lancet Diabetes & Endocrinology

Association of an Intensive Lifestyle Intervention With Remission of Type 2 Diabetes

(2012) Edward W. Gregg et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

A systematic review of predictive risk models for diabetes complications based on large scale clinical studies

(2012) Vincenzo Lagani et al.   JOURNAL OF DIABETES AND ITS COMPLICATIONS

Adolescent BMI Trajectory and Risk of Diabetes versus Coronary Disease

(2011) Amir Tirosh et al.   NEW ENGLAND JOURNAL OF MEDICINE

Impact of BMI and the Metabolic Syndrome on the Risk of Diabetes in Middle-Aged Men

(2010) J. Arnlov et al.   DIABETES CARE

Diabetic retinopathy

(2010) Ning Cheung et al.   LANCET

An accurate risk score for estimation 5-year risk of type 2 diabetes based on a health screening population in Taiwan

(2009) Feng Sun et al.   DIABETES RESEARCH AND CLINICAL PRACTICE

Evolving a Bayesian classifier for ECG-based age classification in medical applications

(2007) M. Wiggins et al.   APPLIED SOFT COMPUTING