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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 19, 2024
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Machine learning[original query]>>Original Studies[Product Type]
Using an Interpretable Amino Acid-Based Machine Learning Method to Enhance the Diagnosis of Major Depressive Disorder.
Cyrus Su Hui Ho 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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Application of machine learning methods for predicting childhood anaemia: Analysis of Ethiopian Demographic Health Survey of 2016.
Solomon Hailemariam Tesfaye et al. PLoS One 2024 19(4) e0300172
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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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Development and validation of machine learning models to predict frailty risk for elderly.
Wei Zhang et al. J Adv Nurs 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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Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.
Jun Zhang et al. Front Endocrinol (Lausanne) 2024 151370838
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Predicting state level suicide fatalities in the united states with realtime data and machine learning.
Devashru Patel et al. Npj Ment Health Res 2024 3(1) 3
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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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Explainable geospatial-artificial intelligence models for the estimation of PM concentration variation during commuting rush hours in Taiwan.
Pei-Yi Wong et al. Environ Pollut 2024 123974
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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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Who is at risk for weight gain after weight-gain associated treatment with antipsychotics, antidepressants, and mood stabilizers: A machine learning approach.
Julia Eder et al. Acta Psychiatr Scand 2024
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Identifying Psychosis Episodes in Psychiatric Admission Notes via Rule-based Methods, Machine Learning, and Pre-Trained Language Models.
Yining Hua et al. medRxiv 2024
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Identifying Psychosis Episodes in Psychiatric Admission Notes via Rule-based Methods, Machine Learning, and Pre-Trained Language Models.
Yining Hua et al. Res Sq 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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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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Radiomics-based prediction of nonalcoholic fatty liver disease following pancreatoduodenectomy.
Takehiro Fujii et al. Surg Today 2024
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Machine Learning Model Based on the Neutrophil-to-Eosinophil Ratio Predicts the Recurrence of Hepatocellular Carcinoma After Surgery.
Guanming Shao et al. J Hepatocell Carcinoma 2024 11679-691
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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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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 19, 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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