Extracting research-quality phenotypes from electronic health records to support precision medicine
about
Biomarkers of risk to develop lung cancer in the new screening eraUrinary proteomics and metabolomics studies to monitor bladder health and urological diseasesLearning statistical models of phenotypes using noisy labeled training data.Validity of cluster headache diagnoses in an electronic health record data repository.Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework.Phenome-Wide Association Studies as a Tool to Advance Precision Medicine.Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods.Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record.Text mining for precision medicine: automating disease-mutation relationship extraction from biomedical literatureIntegrating electronic health record genotype and phenotype datasets to transform patient careCombining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performanceTEPAPA: a novel in silico feature learning pipeline for mining prognostic and associative factors from text-based electronic medical records.A Computable Phenotype Improves Cohort Ascertainment in a Pediatric Pulmonary Hypertension Registry.Opportunities for community awareness platforms in personal genomics and bioinformatics education.Corrected ROC analysis for misclassified binary outcomes.Phenome-wide association studies: a new method for functional genomics in humans.PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability.Electronic health record and genome-wide genetic data in Generation Scotland participants.Taiwan Biobank: making cross-database convergence possible in the Big Data era.Development of Type 2 Diabetes Mellitus Phenotyping Framework Using Expert Knowledge and Machine Learning Approach.Use of instrumental variables in electronic health record-driven models.Electronic Health Record Phenotypes for Precision Medicine: Perspectives and Caveats From Treatment of Breast Cancer at a Single Institution.Genome-wide and Phenome-wide Approaches to Understand Variable Drug Actions in Electronic Health Records.SJS/TEN 2017: Building Multidisciplinary Networks to Drive Science and Translation.Deep learning in pharmacogenomics: from gene regulation to patient stratification.Emerging Role of Precision Medicine in Cardiovascular Disease.Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping Algorithms.Relationship between very low low-density lipoprotein cholesterol concentrations not due to statin therapy and risk of type 2 diabetes: A US-based cross-sectional observational study using electronic health records
P2860
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P2860
Extracting research-quality phenotypes from electronic health records to support precision medicine
description
2015 nî lūn-bûn
@nan
2015 թուականին հրատարակուած գիտական յօդուած
@hyw
2015 թվականին հրատարակված գիտական հոդված
@hy
2015年の論文
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2015年論文
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2015年論文
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2015年論文
@zh-hk
2015年論文
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2015年論文
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2015年论文
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name
Extracting research-quality ph ...... to support precision medicine
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Extracting research-quality ph ...... to support precision medicine
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Extracting research-quality ph ...... to support precision medicine
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Extracting research-quality ph ...... to support precision medicine
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Extracting research-quality ph ...... to support precision medicine
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Extracting research-quality ph ...... to support precision medicine
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Extracting research-quality ph ...... to support precision medicine
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Extracting research-quality ph ...... to support precision medicine
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Extracting research-quality ph ...... to support precision medicine
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P2860
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Extracting research-quality ph ...... to support precision medicine
@en
P2093
Wei-Qi Wei
P2860
P2888
P3181
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10.1186/S13073-015-0166-Y
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2015-01-01T00:00:00Z
P5875
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1043283986