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Public Health Genomics and Precision Health Knowledge Base (v7.8)
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The promise of artificial intelligence for kidney pathophysiology.
Jiang Joy et al. Current opinion in nephrology and hypertension 2022
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Effect of smartphone app-based health care intervention for health management of high-risk mothers: a study protocol for a randomized controlled trial.
Kim Bora et al. Trials 2022 23(1) 486
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Validation of Artificial Intelligence Cardiac MRI Measurements: Relationship to Heart Catheterization and Mortality Prediction.
Alabed Samer et al. Radiology 2022 212929
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Diagnostic Model of In-Hospital Mortality in Patients with Acute ST-Segment Elevation Myocardial Infarction Used Artificial Intelligence Methods.
Li Yong et al. Cardiology research and practice 2022 20228758617
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Multimorbidity and mortality: A data science perspective.
Siah Kien Wei et al. Journal of multimorbidity and comorbidity 2022 1226335565221105431
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Evaluating High-Dimensional Machine Learning Models to Predict Hospital Mortality Among Older Patients With Cancer.
Qiao Edmund M et al. JCO clinical cancer informatics 2022 6e2100186
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An algorithm to identify cases of pulmonary arterial hypertension from the electronic medical record.
Schuler Kyle P et al. Respiratory research 2022 23(1) 138
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(De)troubling transparency: artificial intelligence (AI) for clinical applications.
Winter Peter David et al. Medical humanities 2022
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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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Machine learning-based identification of risk-factor signatures for undiagnosed atrial fibrillation in primary prevention and post-stroke in clinical practice.
Schnabel Renate B et al. European heart journal. Quality of care & clinical outcomes 2022
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Automated Detection of Hypertension Using Continuous Wavelet Transform and a Deep Neural Network with Ballistocardiography Signals.
Rajput Jaypal Singh et al. International journal of environmental research and public health 2022 19(7)
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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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Use of technology to prevent, detect, manage and control hypertension in sub-Saharan Africa: a systematic review.
Stokes Katy et al. BMJ open 2022 12(4) e058840
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Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements.
Alandejani Faisal et al. Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance 2022 24(1) 25
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Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis.
Chowdhury Mohammad Ziaul Islam et al. PloS one 2022 17(4) e0266334
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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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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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Detecting Glaucoma in the Ocular Hypertension Study Using Deep Learning.
Fan Rui et al. JAMA ophthalmology 2022
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Associations between short-term ambient ozone exposure and cause-specific mortality in rural and urban areas of Jiangsu, China.
Lin Chengyi et al. Environmental research 2022 113098
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Effectiveness of Artificial Intelligence Models for Cardiovascular Disease Prediction: Network Meta-Analysis.
Baashar Yahia et al. Computational intelligence and neuroscience 2022 20225849995
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Machine Learning Techniques in Blood Pressure Management During the Acute Phase of Ischemic Stroke.
Mazza Orit et al. Frontiers in neurology 2022 12743728
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Development and evaluation of a predictive algorithm for unsatisfactory response among patients with pulmonary arterial hypertension using health insurance claims data.
Gauthier-Loiselle Marjolaine et al. Current medical research and opinion 2022 1-33
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Intelligent Diagnostic Prediction and Classification Models for Detection of Kidney Disease.
Poonia Ramesh Chandra et al. Healthcare (Basel, Switzerland) 2022 10(2)
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Artificial Intelligence-Enabled Electrocardiogram Estimates Left Atrium Enlargement as a Predictor of Future Cardiovascular Disease.
Lou Yu-Sheng et al. Journal of personalized medicine 2022 12(2)
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Electrocardiogram-Based Heart Age Estimation by a Deep Learning Model Provides More Information on the Incidence of Cardiovascular Disorders.
Chang Chiao-Hsiang et al. Frontiers in cardiovascular medicine 2022 9754909
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Role of artificial intelligence in the diagnosis and management of kidney disease: applications to chronic kidney disease and acute kidney injury.
Tangri Navdeep et al. Current opinion in nephrology and hypertension 2022
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Machine learning-based prediction of postpartum hemorrhage after vaginal delivery: combining bleeding high risk factors and uterine contraction curve.
Liu Jia et al. Archives of gynecology and obstetrics 2022
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Risk prediction in pulmonary hypertension due to chronic heart failure: incremental prognostic value of pulmonary hemodynamics.
Quan Ruilin et al. BMC cardiovascular disorders 2022 22(1) 56
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Deep Phenotyping and Prediction of Long-Term Cardiovascular Disease: Optimized by Machine Learning.
Zhuang Xiao-Dong et al. The Canadian journal of cardiology 2022
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Page last reviewed:
Oct 1, 2021
Page last updated:
Jul 05, 2022
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Office of Genomics and Precision Public Health
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