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Precision Health Database


Precision Health Database|Search|PHGKB

Last data update: Jun 08, 2023. (Total: 60147 Documents since 2012)
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Machine learning framework for atherosclerotic cardiovascular disease risk assessment.
Parya Esmaeili et al. J Diabetes Metab Disord 2023 22(1) 423-430
Development and validation of explainable machine-learning models for carotid atherosclerosis early screening.
Ke Yun et al. J Transl Med 2023 21(1) 353
The contribution of the exposome to the burden of cardiovascular disease.
Thomas Münzel et al. Nat Rev Cardiol 2023
Can deep learning on retinal images augment known risk factors for cardiovascular disease prediction in diabetes? A prospective cohort study from the national screening programme in Scotland.
Joseph Mellor et al. Int J Med Inform 2023 175105072
Application of machine learning algorithms to predict osteoporosis in postmenopausal women with type 2 diabetes mellitus.
X Wu et al. J Endocrinol Invest 2023
Application of supervised machine learning algorithms for classification and prediction of type-2 diabetes disease status in Afar regional state, Northeastern Ethiopia 2021.
Oumer Abdulkadir Ebrahim et al. Sci Rep 2023 13(1) 7779
Deep learning-based measurement of echocardiographic data and its application in the diagnosis of sudden cardiac death.
Lu Zhang et al. Biotechnol Genet Eng Rev 2023 1-13
A risk prediction model for type 2 diabetes mellitus complicated with retinopathy based on machine learning and its application in health management.
Hong Pan et al. Front Med (Lausanne) 2023 101136653
Machine learning models for prediction of invasion Klebsiella pneumoniae liver abscess syndrome in diabetes mellitus: a singled centered retrospective study.
Chengyi Feng et al. BMC Infect Dis 2023 23(1) 284
Clinical validation of a smartphone-based retinal camera for diabetic retinopathy screening.
Juliana Angélica Estevão de Oliveira et al. Acta Diabetol 2023
GluGAN: Generating Personalized Glucose Time Series Using Generative Adversarial Networks.
Taiyu Zhu et al. IEEE J Biomed Health Inform 2023 PP
Machine Learning Identifies New Predictors on Restenosis Risk after Coronary Artery Stenting in 10,004 Patients with Surveillance Angiography.
Ulrich Güldener et al. J Clin Med 2023 12(8)
Machine Learning as a Support for the Diagnosis of Type 2 Diabetes.
Antonio Agliata et al. Int J Mol Sci 2023 24(7)
Using Machine Learning Algorithms to Predict Patient Portal Use Among Emergency Department Patients With Diabetes Mellitus.
Yuan Zhou et al. J Clin Med Res 2023 15(3) 133-138
A machine learning-based diagnosis modelling of type 2 diabetes mellitus with environmental metal exposure.
Min Zhao et al. Comput Methods Programs Biomed 2023 235107537
A deep learning nomogram of continuous glucose monitoring data for the risk prediction of diabetic retinopathy in type 2 diabetes.
Rui Tao et al. Phys Eng Sci Med 2023
Digital Health and Machine Learning Technologies for Blood Glucose Monitoring and Management of Gestational Diabetes.
Huiqi Y Lu et al. IEEE reviews in biomedical engineering 2023 PP
Machine-learning enhancement of urine dipstick tests for chronic kidney disease detection.
Eun Chan Jang et al. Journal of the American Medical Informatics Association : JAMIA 2023
Development and Validation of a Prediction Model for Future Estimated Glomerular Filtration Rate in People With Type 2 Diabetes and Chronic Kidney Disease.
Mariella Gregorich et al. JAMA network open 2023 6(4) e231870
Machine-learning-based high-benefit approach versus conventional high-risk approach in blood pressure management.
Kosuke Inoue et al. International journal of epidemiology 2023
An Intelligent Diabetic Patient Tracking System Based on Machine Learning for E-Health Applications.
Sindhu P Menon et al. Sensors (Basel, Switzerland) 2023 23(6)
Prediction model for gestational diabetes mellitus using the XG Boost machine learning algorithm.
Xiaoqi Hu et al. Frontiers in endocrinology 2023 141105062
Explainable Machine Learning Model to Predict COVID-19 Severity Among Older Adults in the Province of Quebec.
Samira Rahimi et al. Annals of family medicine 2023 (21 Suppl 1)
Identifying Reasons for Statin Nonuse in Patients With Diabetes Using Deep Learning of Electronic Health Records.
Ashish Sarraju et al. Journal of the American Heart Association 2023 e028120
Application of Artificial Intelligence in Assessing the Self-Management Practices of Patients with Type 2 Diabetes.
Rashid M Ansari et al. Healthcare (Basel, Switzerland) 2023 11(6)
Machine learning for post-acute pancreatitis diabetes mellitus prediction and personalized treatment recommendations.
Jun Zhang et al. Scientific reports 2023 13(1) 4857
Effectiveness of artificial intelligence screening in preventing vision loss from diabetes: a policy model.
Roomasa Channa et al. NPJ digital medicine 2023 6(1) 53
The Effectiveness of Wearable Devices Using Artificial Intelligence for Blood Glucose Level Forecasting or Prediction: Systematic Review.
Arfan Ahmed et al. Journal of medical Internet research 2023 25e40259
A machine learning approach for early prediction of gestational diabetes mellitus using elemental contents in fingernails.
Yun-Nam Chan et al. Scientific reports 2023 13(1) 4184
Nonalcoholic fatty liver disease (NAFLD) detection and deep learning in a Chinese community-based population.
Yang Yang et al. European radiology 2023
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