Identification of findings suspicious for breast cancer based on natural language processing of mammogram reports
about
Automation of a problem list using natural language processing.Improving performance of natural language processing part-of-speech tagging on clinical narratives through domain adaptation.Using narrative reports to support a digital library.Identification of anatomical terminology in medical text.Problem-centric organization and visualization of patient imaging and clinical dataExploring the ability of natural language processing to extract data from nursing narratives.Evaluation of a method to identify and categorize section headers in clinical documentsCombining PubMed knowledge and EHR data to develop a weighted bayesian network for pancreatic cancer predictionExtracting timing and status descriptors for colonoscopy testing from electronic medical records.Extracting medical information from narrative patient records: the case of medication-related informationAutomated evaluation of electronic discharge notes to assess quality of care for cardiovascular diseases using Medical Language Extraction and Encoding System (MedLEE).Natural language processing for the development of a clinical registry: a validation study in intraductal papillary mucinous neoplasms.Using natural language processing to extract mammographic findings.Automatic identification of critical follow-up recommendation sentences in radiology reports.Methods for semi-automated indexing for high precision information retrieval.Automatic extraction of PIOPED interpretations from ventilation/perfusion lung scan reports.Automating a severity score guideline for community-acquired pneumonia employing medical language processing of discharge summariesArgument identification for arterial branching predications asserted in cardiac catheterization reports.A broad-coverage natural language processing system.EpiDEA: extracting structured epilepsy and seizure information from patient discharge summaries for cohort identification.Natural Language Processing Technologies in Radiology Research and Clinical Applications.Computational approaches to phenotyping: high-throughput phenomics.Automated extraction of BI-RADS final assessment categories from radiology reports with natural language processing.A review of approaches to identifying patient phenotype cohorts using electronic health records.Medical problem and document model for natural language understanding.Representing information in patient reports using natural language processing and the extensible markup languageAutomated annotation and classification of BI-RADS assessment from radiology reports.Ad hoc classification of radiology reports.Using automatically extracted information from mammography reports for decision-support.The role of domain knowledge in automating medical text report classification.Automatic Lung-RADS™ classification with a natural language processing system.
P2860
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P2860
Identification of findings suspicious for breast cancer based on natural language processing of mammogram reports
description
1997 nî lūn-bûn
@nan
1997年の論文
@ja
1997年学术文章
@wuu
1997年学术文章
@zh-cn
1997年学术文章
@zh-hans
1997年学术文章
@zh-my
1997年学术文章
@zh-sg
1997年學術文章
@yue
1997年學術文章
@zh
1997年學術文章
@zh-hant
name
Identification of findings sus ...... rocessing of mammogram reports
@ast
Identification of findings sus ...... rocessing of mammogram reports
@en
type
label
Identification of findings sus ...... rocessing of mammogram reports
@ast
Identification of findings sus ...... rocessing of mammogram reports
@en
prefLabel
Identification of findings sus ...... rocessing of mammogram reports
@ast
Identification of findings sus ...... rocessing of mammogram reports
@en
P2860
P1476
Identification of findings sus ...... rocessing of mammogram reports
@en
P2093
P2860
P304
P577
1997-01-01T00:00:00Z