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Public Health Genomics and Precision Health Knowledge Base (v8.2)
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Diabetes
Last data update: Jan 26, 2023
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all[original query]>>Original Studies[Product Type]
Polygenic scores, diet quality, and type 2 diabetes risk: An observational study among 35,759 adults from 3 US cohorts.
Merino Jordi et al. PLoS medicine 2022 19(4) e1003972
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Heterogeneous treatment effects of intensive glycemic control on major adverse cardiovascular events in the ACCORD and VADT trials: a machine-learning analysis.
Edward Justin A et al. Cardiovascular diabetology 2022 21(1) 58
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Machine learning approaches to predict the 1-year-after-initial-AMI survival of elderly patients.
Lee Jisoo et al. BMC medical informatics and decision making 2022 22(1) 115
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Long-term Prediction of Blood Glucose Levels in Type 1 Diabetes Using a CNN-LSTM-Based Deep Neural Network.
Jaloli Mehrad et al. Journal of diabetes science and technology 2022 19322968221092785
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Risk Prediction of Pancreatic Cancer in Patients With Recent-onset Hyperglycemia: A Machine-learning Approach.
Chen Wansu et al. Journal of clinical gastroenterology 2022
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Polygenic risk score as a possible tool for identifying familial monogenic causes of complex diseases.
Lu Tianyuan et al. Genetics in medicine : official journal of the American College of Medical Genetics 2022
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Preconception leisure-time physical activity and family history of stroke and myocardial infarction associate with preterm delivery: findings from a Norwegian cohort.
Engen Tone et al. BMC pregnancy and childbirth 2022 22(1) 341
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Association of Lipoprotein (a) in Coronary Artery Disease in Young Individuals.
Patted Aishwarya et al. The Journal of the Association of Physicians of India 2022 70(4) 11-12
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Development of a clinical polygenic risk score assay and reporting workflow.
Hao Limin et al. Nature medicine 2022
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Risk Factor Analysis for Predicting the Onset of Rotator Cuff Calcific Tendinitis Based on Artificial Intelligence.
Dong Shengtao et al. Computational intelligence and neuroscience 2022 20228978878
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A Machine Learning-Based Predictive Model to Identify Patients Who Failed to Attend a Follow-up Visit for Diabetes Care After Recommendations From a National Screening Program.
Okada Akira et al. Diabetes care 2022
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Prevalence and Patient Outcomes of Adult Primary Hypercholesterolemia and Dyslipidemia in the UK: Longitudinal Retrospective Study Using a Primary Care Dataset from 2009 to 2019.
Bilitou Aikaterini et al. ClinicoEconomics and outcomes research : CEOR 2022 14189-203
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Impact of the ABCD-GENE Score on Clopidogrel Clinical Effectiveness after PCI: A Multi-site, Real-world Investigation.
Thomas Cameron D et al. Clinical pharmacology and therapeutics 2022
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A Study on Methodologies of Drug Repositioning Using Biomedical Big Data: A Focus on Diabetes Mellitus.
Lee Suehyun et al. Endocrinology and metabolism (Seoul, Korea) 2022
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Evaluation of Functional Magnetic Resonance Imaging under Artificial Intelligence Algorithm on Plan-Do-Check-Action Home Nursing for Patients with Diabetic Nephropathy.
Du Qianqian et al. Contrast media & molecular imaging 2022 20229882532
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Comparison of Different Machine Learning Techniques to Predict Diabetic Kidney Disease.
David Satish Kumar et al. Journal of healthcare engineering 2022 20227378307
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Readiness to Embrace Artificial Intelligence Among Medical Doctors and Students: Questionnaire-Based Study.
Boillat Thomas et al. JMIR medical education 2022 8(2) e34973
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The Role of Racial and Ethnic Factors in MicroRNA Expression and Risk for Type 2 Diabetes.
Flowers Elena et al. Frontiers in genetics 2022 13853633
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Donor and recipient polygenic risk scores influence the risk of post-transplant diabetes
A Shaked et al Nature Medicine, April 2022
Initial Validation of a Machine Learning-Derived Prognostic Test (KidneyIntelX) Integrating Biomarkers and Electronic Health Record Data To Predict Longitudinal Kidney Outcomes.
Chauhan Kinsuk et al. Kidney360 2022 1(8) 731-739
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Development and internal validation of machine learning algorithms for end-stage renal disease risk prediction model of people with type 2 diabetes mellitus and diabetic kidney disease.
Zou Yutong et al. Renal failure 2022 44(1) 562-570
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Fully Automated Abdominal CT Biomarkers for Type 2 Diabetes Using Deep Learning.
Tallam Hima et al. Radiology 2022 211914
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Machine learning using longitudinal prescription and medical claims for the detection of non-alcoholic steatohepatitis (NASH).
Yasar Ozge et al. BMJ health & care informatics 2022 29(1)
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Targeted Exome Sequencing of Genes Involved in Rare CNVs in Early-Onset Severe Obesity.
Loid Petra et al. Frontiers in genetics 2022 13839349
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Interpretable Machine Learning for the Prediction of Amputation Risk Following Lower Extremity Infrainguinal Endovascular Interventions for Peripheral Arterial Disease.
Cox Meredith et al. Cardiovascular and interventional radiology 2022
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Comparison of Insulin Dose Adjustments Made by Artificial Intelligence based Decision Support System and by Physicians in People with Type 1 Diabetes using Multiple Daily Injections Therapy.
Nimri Revital et al. Diabetes technology & therapeutics 2022
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Nonlaboratory-based risk assessment model for coronary heart disease screening: Model development and validation.
Zhang Liying et al. International journal of medical informatics 2022 162104746
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Predictive Model and Mortality Risk Score during Admission for Ischaemic Stroke with Conservative Treatment.
Lea-Pereira María Carmen et al. International journal of environmental research and public health 2022 19(6)
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Machine Learning Model-Based Simple Clinical Information to Predict Decreased Left Atrial Appendage Flow Velocity.
Li Chao et al. Journal of personalized medicine 2022 12(3)
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Intelligent Algorithm-Based Ultrasound Image for Evaluating the Effect of Comprehensive Nursing Scheme on Patients with Diabetic Kidney Disease.
Zhao Chunyan et al. Computational and mathematical methods in medicine 2022 20226440138
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Page last reviewed:
Jul 25, 2022
Page last updated:
Jan 26, 2023
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