Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts.
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Development of an Inflammatory Bowel Disease Research Registry Derived from Observational Electronic Health Record Data for Comprehensive Clinical Phenotyping.Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing.Using Machine Learning and Natural Language Processing Algorithms to Automate the Evaluation of Clinical Decision Support in Electronic Medical Record SystemsDevelopment and validation of an electronic medical record (EMR)-based computed phenotype of HIV-1 infection.A Computable Phenotype Improves Cohort Ascertainment in a Pediatric Pulmonary Hypertension Registry.Surrogate-assisted feature extraction for high-throughput phenotyping.Identification of patients with congenital hemophilia in a large electronic health record database.Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.Development of Type 2 Diabetes Mellitus Phenotyping Framework Using Expert Knowledge and Machine Learning Approach.Enabling phenotypic big data with PheNorm.Association between anti-citrullinated fibrinogen antibodies and coronary artery disease in rheumatoid arthritis.Automatic infection detection based on electronic medical records.Phenome-wide association study identifies marked increased in burden of comorbidities in African Americans with systemic lupus erythematosus.Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing.Extraction of Ejection Fraction from Echocardiography Notes for Constructing a Cohort of Patients having Heart Failure with reduced Ejection Fraction (HFrEF)
P2860
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P2860
Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
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name
Methods to Develop an Electron ...... oss 3 Chronic Disease Cohorts.
@ast
Methods to Develop an Electron ...... oss 3 Chronic Disease Cohorts.
@en
type
label
Methods to Develop an Electron ...... oss 3 Chronic Disease Cohorts.
@ast
Methods to Develop an Electron ...... oss 3 Chronic Disease Cohorts.
@en
prefLabel
Methods to Develop an Electron ...... oss 3 Chronic Disease Cohorts.
@ast
Methods to Develop an Electron ...... oss 3 Chronic Disease Cohorts.
@en
P2093
P2860
P1433
P1476
Methods to Develop an Electron ...... oss 3 Chronic Disease Cohorts.
@en
P2093
Andrew Cagan
Ashwin N Ananthakrishnan
Denis Agniel
Elizabeth W Karlson
Guergana K Savova
Jaeyoung Lee
Katherine P Liao
Robert M Plenge
Sergey Goryachev
P2860
P304
P356
10.1371/JOURNAL.PONE.0136651
P407
P577
2015-08-24T00:00:00Z