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Public Health Genomics and Precision Health Knowledge Base (v6.9)
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Genomics and Precision Health Database
Genomics & Health Impact Scan Database|Search|PHGKB
Last data update: Jan 15, 2021
. (Total: 38226 Documents since 2012)
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Electronic health records[original query]>>Translation/Implementation Studies[Product Type]
Publication
Characteristics and outcomes of patients with RET-fusion positive non-small lung cancer in real-world practice in the United States.
Hess Lisa M et al. BMC cancer 2021 Jan 21(1) 28
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Comparison of family health history in surveys vs electronic health record data mapped to the observational medical outcomes partnership data model in the All of Us Research Program.
Cronin Robert M et al. Journal of the American Medical Informatics Association : JAMIA 2021 Jan
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Exome-wide evaluation of rare coding variants using electronic health records identifies new gene–phenotype associations
J Park et al, Nature Medicine, January 11, 2021
Expert artificial intelligence-based natural language processing characterises childhood asthma.
Seol Hee Yun et al. BMJ open respiratory research 2020 Feb 7(1)
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Prescribing Prevalence of Medications With Potential Genotype-Guided Dosing in Pediatric Patients.
Ramsey Laura B et al. JAMA network open 2020 Dec 3(12) e2029411
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Developing and evaluating a pediatric asthma severity computable phenotype derived from electronic health records.
Peer Komal et al. The Journal of allergy and clinical immunology 2020 Dec
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Performance and clinical utility of supervised machine-learning approaches in detecting familial hypercholesterolaemia in primary care.
Akyea Ralph K et al. NPJ digital medicine 2020 Oct 3(1) 142
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Real-world integration of genomic data into the electronic health record: the PennChart Genomics Initiative.
Lau-Min Kelsey S et al. Genetics in medicine : official journal of the American College of Medical Genetics 2020 Dec
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Machine Learning Electronic Health Record Identification of Patients with Rheumatoid Arthritis: Algorithm Pipeline Development and Validation Study.
Maarseveen Tjardo D et al. JMIR medical informatics 2020 Nov 8(11) e23930
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Development and validation of a pancreatic cancer risk model for the general population using electronic health records: An observational study.
Appelbaum Limor et al. European journal of cancer (Oxford, England : 1990) 2020 Dec 14319-30
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Clinical Penetrance of Hereditary Hemochromatosis-Related End-Organ Damage of C282Y Homozygosity, A Newfoundland Experience.
Lim Dennis R et al. Clinical and translational gastroenterology 2020 Nov 11(11) e00258
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Identifying Breast Cancer Distant Recurrences from Electronic Health Records Using Machine Learning.
Zeng Zexian et al. Journal of healthcare informatics research 2019 3283-299
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Development of an Artificial Intelligence-Based Automated Recommendation System for Clinical Laboratory Tests: Retrospective Analysis of the National Health Insurance Database.
Islam Md Mohaimenul et al. JMIR medical informatics 2020 Nov 8(11) e24163
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Thought Leader Comparisons of Risks in Precision Medicine Research.
Beskow Laura M et al. Ethics & human research 2020 Nov 42(6) 35-40
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Performance and clinical utility of supervised machine-learning approaches in detecting familial hypercholesterolaemia in primary care.
Akyea Ralph K et al. NPJ digital medicine 2020 3142
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A Decision Support System for Diabetes Chronic Care Models Based on General Practitioner Engagement and EHR Data Sharing.
Frontoni Emanuele et al. IEEE journal of translational engineering in health and medicine 2020 83000112
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Predicting preventable hospital readmissions with causal machine learning.
Marafino Ben J et al. Health services research 2020 Oct
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Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals.
Burdick Hoyt et al. BMC medical informatics and decision making 2020 Oct 20(1) 276
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Subphenotyping depression using machine learning and electronic health records.
Xu Zhenxing et al. Learning health systems 2020 Oct 4(4) e10241
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AutoScore: A Machine Learning-Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records.
Xie Feng et al. JMIR medical informatics 2020 Oct 8(10) e21798
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Prediction of Childbirth Mortality Using Machine Learning.
Metsker Oleg et al. Studies in health technology and informatics 2020 Sep 273109-114
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CLINICAL CHARACTERISTICS AND PROGNOSTIC FACTORS FOR ICU ADMISSION OF PATIENTS WITH COVID-19: A RETROSPECTIVE STUDY USING MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING.
Izquierdo Jose Luis et al. Journal of medical Internet research 2020 Oct
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Automatic classification of scanned electronic health record documents.
Goodrum Heath et al. International journal of medical informatics 2020 Oct 144104302
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Projected utility of pharmacogenomic testing among individuals hospitalized with COVID-19: A retrospective multicenter study in the United States.
Stevenson James M et al. Clinical and translational science 2020 Oct
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Utilization of smartphone and tablet camera photographs to predict healing of diabetes-related foot ulcers.
Kim Renaid B et al. Computers in biology and medicine 2020 Oct 126104042
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Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health Records.
Wu Peng et al. Journal of the American Statistical Association 2020 115(529) 380-392
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Early Sepsis Prediction Using Ensemble Learning With Deep Features and Artificial Features Extracted From Clinical Electronic Health Records.
He Zhengling et al. Critical care medicine 2020 Oct
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Personalized treatment for coronary artery disease patients: a machine learning approach.
Bertsimas Dimitris et al. Health care management science 2020 Oct
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Using Natural Language Processing on Electronic Health Records to Enhance Detection and Prediction of Psychosis Risk.
Irving Jessica et al. Schizophrenia bulletin 2020 Oct
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Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury.
Chaudhary Kumardeep et al. Clinical journal of the American Society of Nephrology : CJASN 2020 Oct
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Page last reviewed:
Oct 1, 2020
Page last updated:
Jan 15, 2021
Content source:
Office of Genomics and Precision Public Health
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CDC Office of Science
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