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Diabetes

Last data update: Jan 26, 2023. (Total: 52264 Documents since 2012)
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Query Trace: 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
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
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
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
Risk Prediction of Pancreatic Cancer in Patients With Recent-onset Hyperglycemia: A Machine-learning Approach.
Chen Wansu et al. Journal of clinical gastroenterology 2022
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
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
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
Development of a clinical polygenic risk score assay and reporting workflow.
Hao Limin et al. Nature medicine 2022
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
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
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
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
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
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
Comparison of Different Machine Learning Techniques to Predict Diabetic Kidney Disease.
David Satish Kumar et al. Journal of healthcare engineering 2022 20227378307
Readiness to Embrace Artificial Intelligence Among Medical Doctors and Students: Questionnaire-Based Study.
Boillat Thomas et al. JMIR medical education 2022 8(2) e34973
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
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
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
Fully Automated Abdominal CT Biomarkers for Type 2 Diabetes Using Deep Learning.
Tallam Hima et al. Radiology 2022 211914
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)
Targeted Exome Sequencing of Genes Involved in Rare CNVs in Early-Onset Severe Obesity.
Loid Petra et al. Frontiers in genetics 2022 13839349
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
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
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
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)
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)
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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