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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)
Last data update: Apr 25, 2024
. (Total: 63675 Documents since 2012)
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Comprehensive evaluation and performance analysis of machine learning in heart disease prediction.
Halah A Al-Alshaikh et al. Sci Rep 2024 14(1) 7819
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Machine learning to identify a composite indicator to predict cardiac death in ischemic heart disease.
Alessandro Pingitore et al. Int J Cardiol 2024 131981
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Automated valvular heart disease detection using heart sound with a deep learning algorithm.
Zihan Jiang et al. Int J Cardiol Heart Vasc 2024 51101368
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A machine learning-based risk score for prediction of infective endocarditis among patients with Staphylococcus aureus bacteraemia - The SABIER score.
Christopher Koon-Chi Lai et al. J Infect Dis 2024
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Machine learning based predictive model of Type 2 diabetes complications using Malaysian National Diabetes Registry: A study protocol.
Mohamad Zulfikrie Abas et al. J Public Health Res 2024 13(1) 22799036241231786
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Coronary heart disease classification using deep learning approach with feature selection for improved accuracy.
Anandhavalli Muniasamy et al. Technol Health Care 2024
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Machine learning-based prediction of composite risk of cardiovascular events in patients with stable angina pectoris combined with coronary heart disease: development and validation of a clinical prediction model for Chinese patients.
Zihan Wang et al. Front Pharmacol 2024 141334439
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Role of artificial intelligence in early detection of congenital heart diseases in neonates.
Haris Ejaz et al. Front Digit Health 2024 51345814
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Application of machine learning algorithms to construct and validate a prediction model for coronary heart disease risk in patients with periodontitis: a population-based study.
Yicheng Wang et al. Front Cardiovasc Med 2023 101296405
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Analysis of computational intelligence approaches for predicting disease severity in humans: Challenges and research guidelines.
Geetha Narasimhan et al. J Educ Health Promot 2023 12334
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Incremental value of machine learning for risk prediction in tetralogy of Fallot.
Ayako Ishikita et al. Heart 2023
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Deep Learning Algorithms to Detect Murmurs Associated With Structural Heart Disease.
John Prince et al. J Am Heart Assoc 2023 12(20) e030377
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Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?
Thomas G Day et al. Prenat Diagn 2023
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A Systematic Review: Do the Use of Machine Learning, Deep Learning, and Artificial Intelligence Improve Patient Outcomes in Acute Myocardial Ischemia Compared to Clinician-Only Approaches?
Binay K Panjiyar et al. Cureus 2023 15(8) e43003
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Comorbidity network analysis using graphical models for electronic health records.
Bo Zhao et al. Front Big Data 2023 6846202
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An active learning machine technique based prediction of cardiovascular heart disease from UCI-repository database.
Saravanan Srinivasan et al. Sci Rep 2023 13(1) 13588
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Predicting 7-day unplanned readmission in elderly patients with coronary heart disease using machine learning.
Xuewu Song et al. Front Cardiovasc Med 2023 101190038
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Fetal electrocardiography and artificial intelligence for prenatal detection of congenital heart disease.
Ivar R de Vries et al. Acta Obstet Gynecol Scand 2023
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Cardiac Failure Forecasting Based on Clinical Data Using a Lightweight Machine Learning Metamodel.
Istiak Mahmud et al. Diagnostics (Basel) 2023 13(15)
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Detection of Cardiovascular Disease from Clinical Parameters Using a One-Dimensional Convolutional Neural Network.
Mohammad Mahbubur Rahman Khan Mamun et al. Bioengineering (Basel) 2023 10(7)
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Artificial intelligence in cardiovascular diseases: diagnostic and therapeutic perspectives.
Xiaoyu Sun et al. Eur J Med Res 2023 28(1) 242
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Effective Prediction of Mortality by Heart Disease Among Women in Jordan Using the Chi-Squared Automatic Interaction Detection Model: Retrospective Validation Study.
Salam Bani Hani et al. JMIR Cardio 2023 7e48795
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A Cardiac Deep Learning Model (CDLM) to Predict and Identify the Risk Factor of Congenital Heart Disease.
Prabu Pachiyannan et al. Diagnostics (Basel) 2023 13(13)
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Predictors of Human Milk Feeding and Direct Breastfeeding for Infants with Single Ventricle Congenital Heart Disease: Machine Learning Analysis of the National Pediatric Cardiology Quality Improvement Collaborative Registry.
Kristin M Elgersma et al. J Pediatr 2023 113562
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Prediction of mortality risk and duration of hospitalization of COVID-19 patients with chronic comorbidities based on machine learning algorithms.
Parastoo Amiri et al. Digit Health 2023 920552076231170493
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Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning.
Dejia Zhou et al. BMC Med Inform Decis Mak 2023 23(1) 99
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Using machine learning algorithms to identify chronic heart disease: National Health and Nutrition Examination Survey 2011-2018.
Xiaofei Chen et al. J Cardiovasc Med (Hagerstown) 2023
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Artificial neural network machine learning prediction of the smoking behavior and health risks perception of Indonesian health professionals.
Desy Nuryunarsih et al. Environ Anal Health Toxicol 2023 38(1) e2023003-0
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Predicting Cardiac Arrest in Children with Heart Disease: A Novel Machine Learning Algorithm.
Priscilla Yu et al. J Clin Med 2023 12(7)
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A Predictive Model of Ischemic Heart Disease in Middle-Aged and Older Women Using Data Mining Technique
J Lim, J Per Med, April 2023
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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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