Abstract:
BACKGROUND:Prior studies demonstrate the suitability of natural language processing (NLP) for identifying pneumonia in chest radiograph (CXR) reports, however, few evaluate this approach in intensive care unit (ICU) patients. METHODS:From a total of 194,615 ICU reports, we empirically developed a lexicon to categorize pneumonia-relevant terms and uncertainty profiles. We encoded lexicon items into unique queries within an NLP software application and designed an algorithm to assign automated interpretations ('positive', 'possible', or 'negative') based on each report's query profile. We evaluated algorithm performance in a sample of 2,466 CXR reports interpreted by physician consensus and in two ICU patient subgroups including those admitted for pneumonia and for rheumatologic/endocrine diagnoses. RESULTS:Most reports were deemed 'negative' (51.8%) by physician consensus. Many were 'possible' (41.7%); only 6.5% were 'positive' for pneumonia. The lexicon included 105 terms and uncertainty profiles that were encoded into 31 NLP queries. Queries identified 534,322 'hits' in the full sample, with 2.7 ± 2.6 'hits' per report. An algorithm, comprised of twenty rules and probability steps, assigned interpretations to reports based on query profiles. In the validation set, the algorithm had 92.7% sensitivity, 91.1% specificity, 93.3% positive predictive value, and 90.3% negative predictive value for differentiating 'negative' from 'positive'/'possible' reports. In the ICU subgroups, the algorithm also demonstrated good performance, misclassifying few reports (5.8%). CONCLUSIONS:Many CXR reports in ICU patients demonstrate frank uncertainty regarding a pneumonia diagnosis. This electronic tool demonstrates promise for assigning automated interpretations to CXR reports by leveraging both terms and uncertainty profiles.
journal_name
BMC Med Inform Decis Makjournal_title
BMC medical informatics and decision makingauthors
Liu V,Clark MP,Mendoza M,Saket R,Gardner MN,Turk BJ,Escobar GJdoi
10.1186/1472-6947-13-90subject
Has Abstractpub_date
2013-08-15 00:00:00pages
90issn
1472-6947pii
1472-6947-13-90journal_volume
13pub_type
杂志文章abstract:BACKGROUND:Virtual Reality has been extensively used in a wide range of psychological experiments. In this study, we aimed to introduce NeuroVirtual 3D, a platform that clinicians could use free of charge. IMPLEMENTATION:The platform we developed relies on NeuroVR software, but we extended it to apply to experiments. ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-016-0276-5
更新日期:2016-03-19 00:00:00
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journal_title:BMC medical informatics and decision making
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journal_title:BMC medical informatics and decision making
pub_type: 临床试验,杂志文章
doi:10.1186/s12911-016-0387-z
更新日期:2016-11-24 00:00:00
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journal_title:BMC medical informatics and decision making
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journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
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journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,评审
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pub_type: 杂志文章,随机对照试验
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journal_title:BMC medical informatics and decision making
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journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
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更新日期:2016-08-30 00:00:00
abstract::After publication of this supplement article [1], it is requested the grant ID in the Funding section should be corrected from NSF grant IIS-7811367 to NSF grant IIS-1902617. ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,已发布勘误
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journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
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doi:10.1186/1472-6947-6-6
更新日期:2006-02-01 00:00:00
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doi:10.1186/s12911-020-01315-7
更新日期:2020-11-13 00:00:00
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journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
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journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-020-01345-1
更新日期:2021-01-06 00:00:00
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journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-3-3
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pub_type: 杂志文章
doi:10.1186/1472-6947-11-17
更新日期:2011-03-09 00:00:00
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journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,meta分析,评审
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journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
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更新日期:2007-12-12 00:00:00
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pub_type: 杂志文章,随机对照试验
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pub_type: 杂志文章,评审
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更新日期:2012-05-28 00:00:00
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journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,多中心研究,随机对照试验
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