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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Heart, Lung, Blood and Sleep Disorders
Last data update: Apr 25, 2024
. (Total: 63675 Documents since 2012)
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Optimized Risk Score to Predict Mortality in Patients With Cardiogenic Shock in the Cardiac Intensive Care Unit.
Eric Yamga et al. J Am Heart Assoc 2023 e029232
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Artificial intelligence guidance of advanced heart failure therapies: A systematic scoping review.
Mohammad A Al-Ani et al. Frontiers in cardiovascular medicine 2023 101127716
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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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Validation of cardiogenic shock phenotypes in a mixed cardiac intensive care unit population.
Jentzer Jacob C et al. Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions 2022
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Machine learning prediction model of acute kidney injury after percutaneous coronary intervention.
Kuno Toshiki et al. Scientific reports 2022 12(1) 749
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Contemporary Clinical and Coronary Anatomic Risk Model for 30-Day Mortality After Percutaneous Coronary Intervention.
Doll Jacob A et al. Circulation. Cardiovascular interventions 2021 CIRCINTERVENTIONS121010863
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Cardiogenic shock and machine learning: A systematic review on prediction through clinical decision support softwares.
Aleman Rene et al. Journal of cardiac surgery 2021
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Integrating the STOP-BANG score and clinical data to predict cardiovascular events after infarction: A machine learning study.
Calvillo-Argüelles Oscar et al. Chest 2020 Apr
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 25, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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