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Public Health Genomics and Precision Health Knowledge Base (v9.0)
PHGKB
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Public Health Genomics Branch
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Last data update: Apr 23, 2024
. (Total: 63653 Documents since 2012)
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A comprehensive benchmark for COVID-19 predictive modeling using electronic health records in intensive care.
Junyi Gao et al. Patterns (N Y) 2024 5(4) 100951
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Use of artificial intelligence in critical care: opportunities and obstacles.
Michael R Pinsky et al. Crit Care 2024 28(1) 113
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Unlocking new potential of clinical diagnosis with artificial intelligence: Finding new patterns of clinical and lab data.
Pradeep Kumar Dabla et al. World J Diabetes 2024 15(3) 308-310
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Many Models, Little Adoption-What Accounts for Low Uptake of Machine Learning Models for Atrial Fibrillation Prediction and Detection?
Yuki Kawamura et al. J Clin Med 2024 13(5)
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Predicting the complexity and mortality of polytrauma patients with machine learning models.
Meiqi Yu et al. Sci Rep 2024 14(1) 8302
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Conventional and machine-learning based risk score for patients with early-stage hepatocellular carcinoma.
Chun-Ting Ho et al. Clin Mol Hepatol 2024
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Explainable and visualizable machine learning models to predict biochemical recurrence of prostate cancer.
Wenhao Lu et al. Clin Transl Oncol 2024
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The potential of machine learning models to identify malnutrition diagnosed by GLIM combined with NRS-2002 in colorectal cancer patients without weight loss information.
Tiantian Wu et al. Clin Nutr 2024 43(5) 1151-1161
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Artificial intelligence in multiple sclerosis management: Challenges in a new era.
Sebastián Rodríguez et al. Mult Scler Relat Disord 2024 86105611
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Machine Learning as a Diagnostic and Prognostic Tool for Predicting Thrombosis in Cancer Patients: A Systematic Review.
Adham H El-Sherbini et al. Semin Thromb Hemost 2024
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Intelligent diagnosis of the severity of disease conditions in COVID-19 patients based on the LASSO method.
Zhuo Jiang et al. Front Public Health 2024 121302256
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Medication Usage Record-Based Predictive Modeling of Neurodevelopmental Abnormality in Infants under One Year: A Prospective Birth Cohort Study.
Tianyi Zhou et al. Healthcare (Basel) 2024 12(7)
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Non-Invasive Heart Failure Evaluation Using Machine Learning Algorithms.
Odeh Adeyi Victor et al. Sensors (Basel) 2024 24(7)
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Development of a Non-Invasive Machine-Learned Point-of-Care Rule-Out Test for Coronary Artery Disease.
Timothy Burton et al. Diagnostics (Basel) 2024 14(7)
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Development and validation of machine learning-based models for predicting healthcare-associated bacterial/fungal infections among COVID-19 inpatients: a retrospective cohort study.
Min Wang et al. Antimicrob Resist Infect Control 2024 13(1) 42
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Progression from Prediabetes to Diabetes in a Diverse US Population: a Machine Learning Model.
Joseph Aoki et al. Diabetes Technol Ther 2024
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Chest X-ray evaluation using machine learning to support the early diagnosis of pulmonary TB.
P L Parreira et al. Int J Tuberc Lung Dis 2024 28(4) 171-175
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Performance of risk models to predict mortality risk for patients with heart failure: evaluation in an integrated health system.
Faraz S Ahmad et al. Clin Res Cardiol 2024
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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-Based Prediction of Stroke in Emergency Departments.
Vida Abedi et al. Ther Adv Neurol Disord 2024 1717562864241239108
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Incremental value of automatically segmented perirenal adipose tissue for pathological grading of clear cell renal cell carcinoma: a multicenter cohort study.
Shichao Li et al. Int J Surg 2024
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Machine learning-based predictive models for patients with venous thromboembolism: A Systematic Review.
Vasiliki Danilatou et al. Thromb Haemost 2024
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Development and validation of a machine learning model for prediction of type 2 diabetes in patients with mental illness.
Martin Bernstorff et al. Acta Psychiatr Scand 2024
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Performance Evaluation of Deep, Shallow and Ensemble Machine Learning Methods for the Automated Classification of Alzheimer's Disease.
Noushath Shaffi et al. Int J Neural Syst 2024 2450029
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Evaluation of the neoadjuvant chemotherapy response in osteosarcoma using the MRI DWI-based machine learning radiomics nomogram.
Lu Zhang et al. Front Oncol 2024 141345576
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Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection.
Viswan Vimbi et al. Brain Inform 2024 11(1) 10
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Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review protocol.
Joana Seringa et al. BMJ Open 2024 14(4) e083188
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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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Application of machine learning in predicting frailty syndrome in patients with heart failure.
Remigiusz Szczepanowski et al. Adv Clin Exp Med 2024 33(3) 309-315
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Preparing for the bedside-optimizing a postpartum depression risk prediction model for clinical implementation in a health system.
Yifan Liu et al. J Am Med Inform Assoc 2024
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 23, 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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