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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: May 01, 2024
. (Total: 63728 Documents since 2012)
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Factors impacting the adoption of big data in healthcare: A systematic literature review.
Abeer Saleh Al Teneiji et al. Int J Med Inform 2024 187105460
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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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Inherent Bias in Electronic Health Records: A Scoping Review of Sources of Bias.
Oriel Perets et al. medRxiv 2024
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The Role of Artificial Intelligence in Identifying Depression and Anxiety: A Comprehensive Literature Review.
Fabeha Zafar et al. Cureus 2024 16(3) e56472
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Causal machine learning for predicting treatment outcomes.
Stefan Feuerriegel et al. Nat Med 2024 30(4) 958-968
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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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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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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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Scalable Approach to Consumer Wearable Postmarket Surveillance: Development and Validation Study.
Richard M Yoo et al. JMIR Med Inform 2024 12e51171
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Predictive analytics support for complex chronic medical conditions: An experience-based co-design study of physician managers' needs and preferences.
Muhammad Rafiq et al. Int J Med Inform 2024 187105447
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Automated Extraction of Stroke Severity from Unstructured Electronic Health Records using Natural Language Processing.
Marta Fernandes 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. 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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Machine Learning-Based Prediction of Stroke in Emergency Departments.
Vida Abedi et al. Ther Adv Neurol Disord 2024 1717562864241239108
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Moving Biosurveillance Beyond Coded Data Using AI for Symptom Detection From Physician Notes: Retrospective Cohort Study.
Andrew J McMurry et al. J Med Internet Res 2024 26e53367
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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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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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Validation of a Multivariable Model to Predict Suicide Attempt in a Mental Health Intake Sample.
Santiago Papini et al. JAMA Psychiatry 2024
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COVID-19 outbreaks surveillance through text mining applied to electronic health records.
Hermano Alexandre Lima Rocha et al. BMC Infect Dis 2024 24(1) 359
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Artificial intelligence (AI) or augmented intelligence? How big data and AI are transforming healthcare: Challenges and opportunities.
K Moodley et al. S Afr Med J 2024 114(1) 22-26
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Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive explanation.
Lianhua Liu et al. Front Endocrinol (Lausanne) 2024 151320335
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Using machine learning techniques to predict the risk of osteoporosis based on nationwide chronic disease data.
Jun-Bo Tu et al. Sci Rep 2024 14(1) 5245
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Deep learning model for personalized prediction of positive MRSA culture using time-series electronic health records
M Nigau et al, Nature Comm, March 7, 2024
Systematic analysis of off-label and off-guideline cancer therapy usage in a real-world cohort of 165,912 US patients.
Ruishan Liu et al. Cell Rep Med 2024 101444
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Predicting early-onset COPD risk in adults aged 20-50 using electronic health records and machine learning.
Guanglei Liu et al. PeerJ 2024 12e16950
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Prediction Models for Glaucoma in a Multicenter Electronic Health Records Consortium: The Sight Outcomes Research Collaborative.
Sophia Y Wang et al. Ophthalmol Sci 2024 4(3) 100445
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Large datasets from Electronic Health Records predict seizures after ischemic strokes: A Machine Learning approach.
Alain Lekoubou et al. medRxiv 2024
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Prevalence and clinical characteristics of patients with rheumatoid arthritis with interstitial lung disease using unstructured healthcare data and machine learning.
Jose A Román Ivorra et al. RMD Open 2024 10(1)
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Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme.
Gabriel Cerono et al. J Healthc Inform Res 2024 8(1) 1-18
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Page last reviewed:
Feb 1, 2024
Page last updated:
May 01, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
,
National Center on Birth Defects and Developmental Disabilities
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