about
Mining the pharmacogenomics literature--a survey of the state of the artN-gram support vector machines for scalable procedure and diagnosis classification, with applications to clinical free text data from the intensive care unit.Description of a rule-based system for the i2b2 challenge in natural language processing for clinical dataAn interactive and user-centered computer system to predict physician's disease judgments in discharge summariesAgreement of Medicaid claims and electronic health records for assessing preventive care quality among adults.Using machine learning for concept extraction on clinical documents from multiple data sources.Automatic lymphoma classification with sentence subgraph mining from pathology reports.Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning.The freetext matching algorithm: a computer program to extract diagnoses and causes of death from unstructured text in electronic health records.Improving sensitivity of machine learning methods for automated case identification from free-text electronic medical recordsDeterminants of Smoking and Quitting in HIV-Infected Individuals.Towards automatic diabetes case detection and ABCS protocol compliance assessment.Identifying patient smoking status from medical discharge recordsA study of transportability of an existing smoking status detection module across institutions.ICD-9 tobacco use codes are effective identifiers of smoking statusUse of semantic features to classify patient smoking status.eQuality for all: Extending automated quality measurement of free text clinical narratives.Comparison of UMLS terminologies to identify risk of heart disease using clinical notes.Risk factor detection for heart disease by applying text analytics in electronic medical records.An automatic system to identify heart disease risk factors in clinical texts over timeA hybrid model for automatic identification of risk factors for heart disease.A rule-based approach for identifying obesity and its comorbidities in medical discharge summaries.Defining a comprehensive verotype using electronic health records for personalized medicine.MITRE system for clinical assertion status classificationAutomatic classification of RDoC positive valence severity with a neural network.Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records.Mayo clinic smoking status classification system: extensions and improvements.Natural language processing framework to assess clinical conditions.
P2860
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P2860
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
@zh-hant
name
Identifying smokers with a medical extraction system.
@en
Identifying smokers with a medical extraction system.
@nl
type
label
Identifying smokers with a medical extraction system.
@en
Identifying smokers with a medical extraction system.
@nl
prefLabel
Identifying smokers with a medical extraction system.
@en
Identifying smokers with a medical extraction system.
@nl
P2093
P2860
P356
P1476
Identifying smokers with a medical extraction system.
@en
P2093
Brian Wilson
Cheryl Clark
Kathleen Good
Lesley Jezierny
Melissa Macpherson
Urszula Chajewska
P2860
P356
10.1197/JAMIA.M2442
P577
2007-10-18T00:00:00Z