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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: May 07, 2024
. (Total: 63788 Documents since 2012)
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Explainable machine learning for predicting conversion to neurological disease: Results from 52,939 medical records.
Christina Felix et al. Digit Health 2024 1020552076241249286
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VLST: Virtual Lung Screening Trial for Lung Cancer Detection Using Virtual Imaging Trial.
Fakrul Islam Tushar et al. ArXiv 2024
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A Machine Learning Prediction Model of Adult Obstructive Sleep Apnea Based on Systematically Evaluated Common Clinical Biochemical Indicators.
Jiewei Huang et al. Nat Sci Sleep 2024 16413-428
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Prediction model of pressure injury occurrence in diabetic patients during ICU hospitalization--XGBoost machine learning model can be interpreted based on SHAP.
Jie Xu et al. Intensive Crit Care Nurs 2024 83103715
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A novel multidisciplinary machine learning approach based on clinical, imaging, colonoscopy, and pathology features for distinguishing intestinal tuberculosis from Crohn's disease.
Baolan Lu et al. Abdom Radiol (NY) 2024
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Heart failure survival prediction using novel transfer learning based probabilistic features.
Azam Mehmood Qadri et al. PeerJ Comput Sci 2024 10e1894
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Machine Learning-based Prediction Models for C difficile Infection: A Systematic Review.
Raseen Tariq et al. Clin Transl Gastroenterol 2024
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Machine learning and new insights for breast cancer diagnosis.
Ya Guo et al. J Int Med Res 2024 52(4) 3000605241237867
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Brave New World of Artificial Intelligence: Its Use in Antimicrobial Stewardship-A Systematic Review.
Rafaela Pinto-de-Sá et al. Antibiotics (Basel) 2024 13(4)
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Use of Digitalisation and Machine Learning Techniques in Therapeutic Intervention at Early Ages: Supervised and Unsupervised Analysis.
María Consuelo Sáiz-Manzanares et al. Children (Basel) 2024 11(4)
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Insights from Explainable Artificial Intelligence of Pollution and Socioeconomic Influences for Respiratory Cancer Mortality in Italy.
Donato Romano et al. J Pers Med 2024 14(4)
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Artificial Intelligence (AI) for Early Diagnosis of Retinal Diseases.
Uday Pratap Singh Parmar et al. Medicina (Kaunas) 2024 60(4)
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1-Year Mortality Prediction through Artificial Intelligence Using Hemodynamic Trace Analysis among Patients with ST Elevation Myocardial Infarction.
Seyed Reza Razavi et al. Medicina (Kaunas) 2024 60(4)
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Predictive value of magnetic resonance imaging diffusion parameters using artificial intelligence in low-and intermediate-risk prostate cancer patients treated with stereotactic ablative radiotherapy: A pilot study.
A Kedves et al. Radiography (Lond) 2024 30(3) 986-994
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Facilitating clinically relevant skin tumor diagnostics with spectroscopy-driven machine learning.
Emil Andersson et al. iScience 2024 27(5) 109653
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Development and Application of a Novel Machine Learning Model Predicting Pancreatic Cancer-Specific Mortality.
Yongji Sun et al. Cureus 2024 16(3) e57161
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Early prediction of sepsis-induced respiratory tract infection using a biomarker-based machine-learning algorithm.
Mingkuan Su et al. Scand J Clin Lab Invest 2024 1-9
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Identifying dementia from cognitive footprints in hospital records among Chinese older adults: a machine-learning study.
Jiayi Zhou et al. Lancet Reg Health West Pac 2024 46101060
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A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma.
Ji Won Han et al. Clin Cancer Res 2024
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Predicting the risk of lung cancer using machine learning: A large study based on UK Biobank.
Siqi Zhang et al. Medicine (Baltimore) 2024 103(16) e37879
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Machine Learning Algorithms to Predict Colistin-Induced Nephrotoxicity from Electronic Health Records in Patients with Multidrug-Resistant Gram-Negative Infection.
Ling-Wan Chiu et al. Int J Antimicrob Agents 2024 107175
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Application value of the automated machine learning model based on modified CT index combined with serological indices in the early prediction of lung cancer.
Leyuan Meng et al. Front Public Health 2024 121368217
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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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Application of machine learning for lung cancer survival prognostication-A systematic review and meta-analysis.
Alexander J Didier et al. Front Artif Intell 2024 71365777
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Applying Machine Learning Techniques to Implementation Science.
Nathalie Huguet et al. Online J Public Health Inform 2024 16e50201
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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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Page last reviewed:
Feb 1, 2024
Page last updated:
May 07, 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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