2013
DOI: 10.1016/j.jbi.2013.06.004
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Natural language processing: State of the art and prospects for significant progress, a workshop sponsored by the National Library of Medicine

Abstract: Natural language processing (NLP) is crucial for advancing healthcare because it is needed to transform relevant information locked in text into structured data that can be used by computer processes aimed at improving patient care and advancing medicine. In light of the importance of NLP to health, the National Library of Medicine (NLM) recently sponsored a workshop to review the state of the art in NLP focusing on text in English, both in biomedicine and in the general language domain. Specific goals of the … Show more

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Cited by 108 publications
(93 citation statements)
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References 34 publications
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“…This approach concurs with the arguments in favor of reuse of existing information sources in Friedman et al (2013). On the one hand, it may not be surprising that the RI-ICD model is performing well on Experiment 1, given how it induces semantic relations between words occurring in episodes with the same ICD-10 code.…”
Section: Discussionsupporting
confidence: 81%
“…This approach concurs with the arguments in favor of reuse of existing information sources in Friedman et al (2013). On the one hand, it may not be surprising that the RI-ICD model is performing well on Experiment 1, given how it induces semantic relations between words occurring in episodes with the same ICD-10 code.…”
Section: Discussionsupporting
confidence: 81%
“…However, redacting information embedded in free-text notes is substantially harder. Although NLP has improved dramatically over the past several years, 24 it is still in its infancy and has not been broadly implemented to extract discrete data locked in free-text notes and reports. Until NLP capabilities are more well-developed and broadly available, complete granular control of access to patients' EHR data will continue to be impossible.…”
Section: Discussionmentioning
confidence: 99%
“…Friedman et al [42] presents a survey of the state of the art and prospects in BioNLP, sponsored by the US National Library of Medicine. This report identifies that "the most significant confounding element for clinical NLP is inaccessibility of large scale de-identified clinical corpora, which are needed for training and evaluation.…”
Section: A Medical Analytics -Classification Of Articles or Medical mentioning
confidence: 99%