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Public Health Genomics and Precision Health Knowledge Base (v8.2)
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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
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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
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A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument.
Fahmida Haque et al. Diagnostics (Basel, Switzerland) 2023 13(2)
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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
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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
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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
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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
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Machine Learning Approach to Drug Treatment Strategy for Diabetes Care.
Fujihara Kazuya et al. Diabetes & metabolism journal 2023
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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
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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)
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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)
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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)
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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
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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
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Clinical lipidomics in the era of the big data.
Kvasnicka Aleš et al. Clinical chemistry and laboratory medicine 2023
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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
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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
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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
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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
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Systolic Blood Pressure and Cardiovascular Risk in Patients With Diabetes: A Prospective Cohort Study.
Rao Shishir et al. Hypertension (Dallas, Tex. : 1979) 2022
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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
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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)
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Machine Learning Approach for Metabolic Syndrome Diagnosis Using Explainable Data-Augmentation-Based Classification.
Sghaireen Mohammed G et al. Diagnostics (Basel, Switzerland) 2022 12(12)
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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
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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
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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
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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
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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
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Predicting hypertension onset from longitudinal electronic health records with deep learning.
Datta Suparno et al. JAMIA open 2022 5(4) ooac097
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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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Page last reviewed:
Feb 1, 2023
Page last updated:
Feb 09, 2023
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