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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Last data update: Jul 05, 2022. (Total: 48041 Documents since 2012)
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The promise of artificial intelligence for kidney pathophysiology.
Jiang Joy et al. Current opinion in nephrology and hypertension 2022
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
Validation of Artificial Intelligence Cardiac MRI Measurements: Relationship to Heart Catheterization and Mortality Prediction.
Alabed Samer et al. Radiology 2022 212929
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
Multimorbidity and mortality: A data science perspective.
Siah Kien Wei et al. Journal of multimorbidity and comorbidity 2022 1226335565221105431
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
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
(De)troubling transparency: artificial intelligence (AI) for clinical applications.
Winter Peter David et al. Medical humanities 2022
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
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
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)
Readiness to Embrace Artificial Intelligence Among Medical Doctors and Students: Questionnaire-Based Study.
Boillat Thomas et al. JMIR medical education 2022 8(2) e34973
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
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
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
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
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)
Detecting Glaucoma in the Ocular Hypertension Study Using Deep Learning.
Fan Rui et al. JAMA ophthalmology 2022
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
Effectiveness of Artificial Intelligence Models for Cardiovascular Disease Prediction: Network Meta-Analysis.
Baashar Yahia et al. Computational intelligence and neuroscience 2022 20225849995
Machine Learning Techniques in Blood Pressure Management During the Acute Phase of Ischemic Stroke.
Mazza Orit et al. Frontiers in neurology 2022 12743728
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
Intelligent Diagnostic Prediction and Classification Models for Detection of Kidney Disease.
Poonia Ramesh Chandra et al. Healthcare (Basel, Switzerland) 2022 10(2)
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)
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
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
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
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
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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