Last Posted: Jun 09, 2020
- An Innovative Method for Screening and Evaluating the Degree of Diabetic Retinopathy and Drug Treatment Based on Artificial Intelligence Algorithms.
Xie Qiwei et al. Pharmacological research 2020 Jun 104986 - Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients.
Dovgan Erik et al. PloS one 2020 15(6) e0233976 - Risk factors for mortality in patients with Coronavirus disease 2019 (COVID-19) infection: a systematic review and meta-analysis of observational studies
M Parohan et al MEDRXIV, June 4, 2020 - Google Street View Derived Built Environment Indicators and Associations with State-Level Obesity, Physical Activity, and Chronic Disease Mortality in the United States.
Phan Lynn et al. International journal of environmental research and public health 2020 May 17(10) - Minimal Patient Clinical Variables to Accurately Predict Stress Echocardiography Outcome: Validation Study Using Machine Learning Techniques.
Bennasar Mohamed et al. JMIR cardio 2020 May 4(1) e16975 - Hospitalization and Mortality among Black Patients and White Patients with Covid-19.
Price-Haywood Eboni G et al. The New England journal of medicine 2020 May - Comparing outcomes and costs among warfarin-sensitive patients versus warfarin-insensitive patients using The Right Drug, Right Dose, Right Time: Using genomic data to individualize treatment (RIGHT) 10K warfarin cohort.
Swanson Kristi M et al. PloS one 2020 15(5) e0233316 - Improving blood glucose level predictability using machine learning.
Marcus Yonit et al. Diabetes/metabolism research and reviews 2020 May e3348 - Machine Learning for Interpretation of DNA Variants of Maturity-Onset Diabetes of the Young Genes Based on ACMG Criteria
Y Liu et al, MEDRXIV, May 23, 2020 - The Polygenic Score Catalog: an open database for reproducibility and systematic evaluation
SA Lambert et al, MEDRXIV, May 23, 2020
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