Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions

By Wendy W. Chapman, Prakash M. Nadkarni, Lynette Hirschman, Leonard W. D'Avolio, Guergana K. Savova, Ozlem Uzuner. J. Am. Medical Informatics Assoc., 2011

305 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Health Information Management, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/09d15d813855f168220338fc5d8988c8a1ebfe44

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Preethi Raghavan

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Citations in the corpus

Clinical Natural Language Processing in languages other than English: opportunities and challenges (2018, background): “Past experience with shared tasks in English has shown international community efforts were a useful and efficient channel to benchmark and improve the state-of-theart [150].”
Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances (2018, unknown): “The field has matured considerably in recent years, addressing many of the challenges identified by Chapman et al. [3], and meeting the recommendations by Friedman et al. [4].”
Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department (2014, background): “Despite these efforts, many barriers remain.(37,38) First, al-”
How essential are unstructured clinical narratives and information fusion to clinical trial recruitment? (2014, background): “These levels include: (1) patient referral patterns (2) patterns of disease treatment (3) and differences in disease stages.”
CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines (2017, background): “Furthermore, users often report reduced performance when an existing system is applied without customization beyond its original purpose, eg, when moving to a different institution, different types of clinical notes, or a different application.(15) For machine learning–based NLP systems, statistical”