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Precision Health Database


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Diabetes

Last data update: Sep 22, 2023. (Total: 61629 Documents since 2012)
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Query Trace: all[original query]>>Original Studies[Product Type]
Deep learning detection of diabetic retinopathy in Scotland's diabetic eye screening programme.
Alan D Fleming et al. Br J Ophthalmol 2023
Prediction of diabetic kidney disease risk using machine learning models: a population-based cohort study of Asian adults.
Charumathi Sabanayagam et al. Elife 2023 12
Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study.
Mehdi Amini et al. Sci Rep 2023 13(1) 14920
Comparative study on risk prediction model of type 2 diabetes based on machine learning theory: a cross-sectional study.
Shu Wang et al. BMJ Open 2023 13(8) e069018
Machine Learning Applied to Cholesterol-Lowering Pharmacotherapy: Proof-of-Concept in High-Risk Patients Treated in Primary Care.
Andrew J Krentz et al. Metab Syndr Relat Disord 2023
Using machine learning to detect sarcopenia from electronic health records.
Xiao Luo et al. Digit Health 2023 920552076231197098
Utility of polygenic scores for differentiating diabetes diagnosis among patients with atypical phenotypes of diabetes.
Liana K Billings et al. J Clin Endocrinol Metab 2023
Integrating Genome-wide information and Wearable Device Data to Explore the Link of Anxiety and Antidepressants with Heart Rate Variability.
Eleni Friligkou et al. medRxiv 2023
Prediction of gestational diabetes mellitus in Asian women using machine learning algorithms.
Byung Soo Kang et al. Sci Rep 2023 13(1) 13356
Improvement of a prediction model for heart failure survival through explainable artificial intelligence.
Pedro A Moreno-Sánchez et al. Front Cardiovasc Med 2023 101219586
Comparisons of the prediction models for undiagnosed diabetes between machine learning versus traditional statistical methods.
Seong Gyu Choi et al. Sci Rep 2023 13(1) 13101
Cardiac Failure Forecasting Based on Clinical Data Using a Lightweight Machine Learning Metamodel.
Istiak Mahmud et al. Diagnostics (Basel) 2023 13(15)
The effect of personalized intelligent digital systems for self-care training on type II diabetes: a systematic review and meta-analysis of clinical trials.
Mozhgan Tanhapour et al. Acta Diabetol 2023
Efficacy of deep learning-based artificial intelligence models in screening and referring patients with diabetic retinopathy and glaucoma.
Janani Surya et al. Indian J Ophthalmol 2023 71(8) 3039-3045
Developing a nomogram for predicting depression in diabetic patients after COVID-19 using machine learning.
Haewon Byeon et al. Front Public Health 2023 111150818
Abdominal obesity genetic variants predict waist circumference regain after weight loss.
Malene Revsbech Christiansen et al. Diabetes 2023
Performance of a Support Vector Machine Learning Tool for Diagnosing Diabetic Retinopathy in Clinical Practice.
Tobias P H Nissen et al. J Pers Med 2023 13(7)
Determinants of lipid-lowering medication prescribing in a multi-ethnic adult population diagnosed with familial hypercholesterolaemia in South London.
Aya Ayoub et al. Br J Gen Pract 2023 73(suppl 1)
The causal effects of education on adult health, mortality and income: evidence from Mendelian randomization and the raising of the school leaving age.
Neil M Davies et al. Int J Epidemiol 2023
Development and economic assessment of machine learning models to predict glycosylated hemoglobin in type 2 diabetes.
Yi-Tong Tong et al. Front Pharmacol 2023 141216182
AI-Human Hybrid Workflow Enhances Teleophthalmology for the Detection of Diabetic Retinopathy.
Eliot R Dow et al. Ophthalmol Sci 2023 3(4) 100330
Single retinal image for diabetic retinopathy screening: performance of a handheld device with embedded artificial intelligence.
Fernando Marcondes Penha et al. Int J Retina Vitreous 2023 9(1) 41
Neural network-based method to stratify people at risk for developing diabetic foot: A support system for health professionals.
Ana Cláudia Barbosa Honório Ferreira et al. PLoS One 2023 18(7) e0288466
Australian parental perceptions of genomic newborn screening for non-communicable diseases.
Sarah Casauria et al. Front Genet 2023 141209762
Clinical Characterization of Patients Diagnosed with Prostate Cancer and Undergoing Conservative Management: A PIONEER Analysis Based on Big Data.
Giorgio Gandaglia et al. Eur Urol 2023
Using Deep Learning Architectures for Detection and Classification of Diabetic Retinopathy.
Cheena Mohanty et al. Sensors (Basel) 2023 23(12)
Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes: A Comparative Evaluation.
Antonio García-Domínguez et al. J Diabetes Res 2023 20239713905
Development of Machine Learning Models for Predicting Osteoporosis in Patients with Type 2 Diabetes Mellitus-A Preliminary Study.
Xuelun Wu et al. Diabetes Metab Syndr Obes 2023 161987-2003
Estimating Blood Glucose Levels Using Machine Learning Models with Non-Invasive Wearable Device Data.
Sarah Aziz et al. Stud Health Technol Inform 2023 305283-286
Development and validation of an interpretable machine learning model-Predicting mild cognitive impairment in a high-risk stroke population.
Feng-Juan Yan et al. Front Aging Neurosci 2023 151180351
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