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Precision Health Database


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Diabetes

Last data update: Oct 21, 2021. (Total: 42942 Documents since 2012)
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Estimation of Various Walking Intensities Based on Wearable Plantar Pressure Sensors Using Artificial Neural Networks.
Chen Hsing-Chung et al. Sensors (Basel, Switzerland) 2021 21(19)
Cardiac Diagnostic Feature and Demographic Identification (CDF-DI): An IoT Enabled Healthcare Framework Using Machine Learning.
Kumar Deepak et al. Sensors (Basel, Switzerland) 2021 21(19)
Machine Learning Based Diabetes Classification and Prediction for Healthcare Applications.
Butt Umair Muneer et al. Journal of healthcare engineering 2021 20219930985
Achievement of treatment targets predicts progression of vascular complications in type 1 diabetes.
Salna Ilze et al. Journal of diabetes and its complications 2021 108072
Predicting hypoglycemia in critically Ill patients using machine learning and electronic health records.
Mantena Sreekar et al. Journal of clinical monitoring and computing 2021
Effective methods of diabetic retinopathy detection based on deep convolutional neural networks.
Gu Yunchao et al. International journal of computer assisted radiology and surgery 2021
Prediction of incident atrial fibrillation in community-based electronic health records: a systematic review with meta-analysis.
Nadarajah Ramesh et al. Heart (British Cardiac Society) 2021
Quantifying representativeness in randomized clinical trials using machine learning fairness metrics.
Qi Miao et al. JAMIA open 2021 4(3) ooab077
Claims-based algorithms for common chronic conditions were efficiently constructed using machine learning methods.
Hara Konan et al. PloS one 2021 16(9) e0254394
The Importance of Close Follow-Up in Patients with Early-Grade Diabetic Retinopathy: A Taiwan Population-Based Study Grading via Deep Learning Model.
Lee Chia-Cheng et al. International journal of environmental research and public health 2021 18(18)
Evaluation of a New Neural Network Classifier for Diabetic Retinopathy.
Katz Or et al. Journal of diabetes science and technology 2021 19322968211042665
Use of artificial intelligence for public health surveillance: a case study to develop a machine Learning-algorithm to estimate the incidence of diabetes mellitus in France.
Haneef Romana et al. Archives of public health = Archives belges de sante publique 2021 79(1) 168
Predicting length of stay and mortality among hospitalized patients with type 2 diabetes mellitus and hypertension.
Barsasella Diana et al. International journal of medical informatics 2021 154104569
Digital intervention increases influenza vaccination rates for people with diabetes in a decentralized randomized trial
JL Lee et al, NPJ Digital Medicine, September 17, 2021
Perinatal health predictors using artificial intelligence: A review.
Ramakrishnan Rema et al. Women's health (London, England) 2021 1717455065211046132
Development and Validation of a Prediction Model for Elevated Arterial Stiffness in Chinese Patients With Diabetes Using Machine Learning.
Li Qingqing et al. Frontiers in physiology 2021 12714195
The BAriatic surgery SUbstitution and nutrition (BASUN) population: a data-driven exploration of predictors for obesity.
Höskuldsdóttir Gudrún et al. BMC endocrine disorders 2021 21(1) 183
Machine-learning-based predictions of direct-acting antiviral therapy duration for patients with hepatitis C.
Feldman Theodore C et al. International journal of medical informatics 2021 154104562
Using Machine Learning Algorithms to Predict Candidaemia in ICU Patients With New-Onset Systemic Inflammatory Response Syndrome.
Yuan Siyi et al. Frontiers in medicine 2021 8720926
[Accuracy of artificial intelligence compared to trained medical technologists in diabetic retinopathy screening].
Ibáñez-Bruron María C et al. Revista medica de Chile 2021 149(4) 493-500
Predicting and Preventing Acute Care Re-Utilization by Patients with Diabetes.
Rubin Daniel J et al. Current diabetes reports 2021 21(9) 34
Regional variations in medical trainee diet and nutrition counseling competencies: Machine learning-augmented propensity score analysis of a prospective multi-site cohort study.
Patnaik Anish et al. Medical science educator 2020 30(2) 911-915
Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey.
Lakshminarayanan Vasudevan et al. Journal of imaging 2021 7(9)
Implantable loop recorder detection of atrial fibrillation to prevent stroke (The LOOP Study): a randomised controlled trial.
Svendsen Jesper H et al. Lancet (London, England) 2021
A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy, motivations, open research challenges and recommendations for intelligent future work.
Salman Omar H et al. Computer methods and programs in biomedicine 2021 209106357
Deep Learning Algorithm for Management of Diabetes Mellitus via Electrocardiogram-Based Glycated Hemoglobin (ECG-HbA1c): A Retrospective Cohort Study.
Lin Chin-Sheng et al. Journal of personalized medicine 2021 11(8)
A Machine Learning Approach to Passively Informed Prediction of Mental Health Risk in People with Diabetes: Retrospective Case-Control Analysis.
Yu Jessica et al. Journal of medical Internet research 2021 23(8) e27709
Dietary Intake and Health Status of Elderly Patients With Type 2 Diabetes Mellitus: Cross-sectional Study Using a Mobile App in Primary Care.
Coleone Joane Diomara et al. JMIR formative research 2021 5(8) e27454
Using a Convolutional Neural Network to Predict Remission of Diabetes After Gastric Bypass Surgery: Machine Learning Study From the Scandinavian Obesity Surgery Register.
Cao Yang et al. JMIR medical informatics 2021 9(8) e25612
Detecting diabetic retinopathy through machine learning on electronic health record data from an urban, safety net healthcare system.
Ogunyemi Omolola I et al. JAMIA open 2021 4(3) ooab066
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