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April 28, 2016JAMA Oncology312 citations

Natural Language Processing in Oncology

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WYWen-wai YimMYMeliha YetişgenWHWilliam Proctor Harris

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Abstract

More automated means of leveraging unstructured data from daily clinical practice is crucial as therapeutic options and access to individual-level health information increase. Research-minded oncologists may push the avenues of evidence-based research by taking advantage of the new technologies available with clinical NLP. As continued progress is made with applying NLP toward oncological research, incremental gains will lead to large impacts, building a cost-effective infrastructure for advancing cancer care.

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Yim et al. (2016) studied this question.

synapsesocial.com/papers/699562f810cb51f425ec45f4https://doi.org/10.1001/jamaoncol.2016.0213
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