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Diabetes

Last data update: Feb 09, 2023. (Total: 52539 Documents since 2012)
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Risk factor structure of heart failure in patients with cancer after treatment with anticancer agents' assessment by big data from a Japanese electronic health record.
Shoichiro Nohara et al. Heart and vessels 2023
Performance of cardiovascular disease risk prediction equations in more than 14 000 survivors of cancer in New Zealand primary care: a validation study.
Essa Tawfiq et al. Lancet (London, England) 2023
A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument.
Fahmida Haque et al. Diagnostics (Basel, Switzerland) 2023 13(2)
Risk factors based vessel-specific prediction for stages of coronary artery disease using Bayesian quantile regression machine learning method: Results from the PARADIGM registry.
Hyung-Bok Park et al. Clinical cardiology 2023
Stroke prevention in rural residents: development of a simplified risk assessment tool with artificial intelligence.
Ding Zhongao et al. Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology 2023
Estimation of a Machine Learning-Based Decision Rule to Reduce Hypoglycemia Among Older Adults With Type 1 Diabetes: A Post Hoc Analysis of Continuous Glucose Monitoring in the WISDM Study.
Kahkoska Anna R et al. Journal of diabetes science and technology 2023 19322968221149040
Lethality risk markers by sex and age-group for COVID-19 in Mexico: a cross-sectional study based on machine learning approach.
Rojas-García Mariano et al. BMC infectious diseases 2023 23(1) 18
Machine Learning Approach to Drug Treatment Strategy for Diabetes Care.
Fujihara Kazuya et al. Diabetes & metabolism journal 2023
Prediction of type 2 diabetes mellitus using hematological factors based on machine learning approaches: a cohort study analysis.
Mansoori Amin et al. Scientific reports 2023 13(1) 663
Drug Recommendation from Diagnosis Codes: Classification vs. Collaborative Filtering Approaches.
Sae-Ang Apichat et al. International journal of environmental research and public health 2023 20(1)
Advanced Hemodynamic Monitoring Allows Recognition of Early Response Patterns to Diuresis in Congestive Heart Failure Patients.
Dagan Maya et al. Journal of clinical medicine 2023 12(1)
Segmentation-Assisted Fully Convolutional Neural Network Enhances Deep Learning Performance to Identify Proliferative Diabetic Retinopathy.
Alam Minhaj et al. Journal of clinical medicine 2023 12(1)
Test accuracy of artificial intelligence-based grading of fundus images in diabetic retinopathy screening: A systematic review.
Zhelev Zhivko et al. Journal of medical screening 2023 9691413221144382
Mobile APP-assisted family physician program for improving blood pressure outcome in hypertensive patients.
Xing Fang et al. BMC primary care 2023 24(1) 8
Clinical lipidomics in the era of the big data.
Kvasnicka Aleš et al. Clinical chemistry and laboratory medicine 2023
The role of artificial intelligence technology in the care of diabetic foot ulcers: the past, the present, and the future.
Pappachan Joseph M et al. World journal of diabetes 2022 13(12) 1131-1139
Disease-specific data processing: An intelligent digital platform for diabetes based on model prediction and data analysis utilizing big data technology.
Kong Xiangyong et al. Frontiers in public health 2022 101053269
Deep-Learning-Aided Diagnosis of Diabetic Retinopathy, Age-Related Macular Degeneration, and Glaucoma Based on Structural and Angiographic OCT.
Zang Pengxiao et al. Ophthalmology science 2022 3(1) 100245
Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning.
Becker Martin et al. Frontiers in pediatrics 2022 10933266
Systolic Blood Pressure and Cardiovascular Risk in Patients With Diabetes: A Prospective Cohort Study.
Rao Shishir et al. Hypertension (Dallas, Tex. : 1979) 2022
Simultaneous screening and classification of diabetic retinopathy and age-related macular degeneration based on fundus photos-a prospective analysis of the RetCAD system.
Skevas Christos et al. International journal of ophthalmology 2022 15(12) 1985-1993
Digital solution for detection of undiagnosed diabetes using machine learning-based retinal image analysis.
Zee Benny et al. BMJ open diabetes research & care 2022 10(6)
Machine Learning Approach for Metabolic Syndrome Diagnosis Using Explainable Data-Augmentation-Based Classification.
Sghaireen Mohammed G et al. Diagnostics (Basel, Switzerland) 2022 12(12)
Impact of Artificial Intelligence Assessment of Diabetic Retinopathy on Referral Service Uptake in a Low-Resource Setting: The RAIDERS Randomized Trial.
Mathenge Wanjiku et al. Ophthalmology science 2022 2(4) 100168
Development and validation of a machine learning-augmented algorithm for diabetes screening in community and primary care settings: A population-based study.
Liu XiaoHuan et al. Frontiers in endocrinology 2022 131043919
Machine learning for the prediction of minor amputation in University of Texas grade 3 diabetic foot ulcers.
Wang Shiqi et al. PloS one 2022 17(12) e0278445
MRI-based machine learning model: A potential modality for predicting cognitive dysfunction in patients with type 2 diabetes mellitus.
Xu Zhigao et al. Frontiers in bioengineering and biotechnology 2022 101082794
Development and assessment of novel machine learning models to predict medication non-adherence risks in type 2 diabetics.
Li Mengting et al. Frontiers in public health 2022 101000622
Predicting hypertension onset from longitudinal electronic health records with deep learning.
Datta Suparno et al. JAMIA open 2022 5(4) ooac097
Machine learning modeling practices to support the principles of AI and ethics in nutrition research.
Thomas Diana M et al. Nutrition & diabetes 2022 12(1) 48
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