Evaluation of PICO as a Knowledge Representation for Clinical Questions

By Xiaoli Huang, Jimmy J. Lin, Dina Demner-Fushman. American Medical Informatics Association Annual Symposium, 2006

946 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/1e7b4b0770567913f7c6c048af876a6589334108

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Citations in the corpus

MSˆ2: Multi-Document Summarization of Medical Studies (2021, background): “The Populations, Interventions, and Outcomes of interest are a common way of representing clinical knowledge (Huang et al., 2006).”
Frontiers of biomedical text mining: current progress (2007, background): “[84] mapped clinical questions based on Problem/Population, Intervention,”
COVID-19-Related Mental Health Effects in the Workplace: A Narrative Review (2020, methodology): “Following the population, intervention, comparison, outcomes (PICO) strategy for scientific research [37], we used a specific string of search.”
The impact of patient, intervention, comparison, outcome (PICO) as a search strategy tool on literature search quality: a systematic review (2018, background): “The PICO framework is primarily centered on therapy questions, and although it can be adapted to formulate research questions related to prognosis or diagnosis, it is less suitable for other types of clinical information needs [11].”
Answering Clinical Questions with Knowledge-Based and Statistical Techniques (2007, background): “Nevertheless, there are three potential solutions to this problem: First, although there is an infinite variety of clinical questions, the number of query types is bounded and far smaller in number; see (Huang et al., 2006) for an analysis.”
SciBERT: Pretrained Contextualized Embeddings for Scientific Text (2019, unknown): “PICO (Participant Intervention Comparison Outcome Extraction): This is also a sequence labeling task involving the extraction of spans of interest in clinical trial papers (Huang et al., 2006).”
A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature (2018, background): “Collectively, these key informational pieces are referred to as PICO elements; they form the basis for well-formed clinical questions (Huang et al., 2006).”
Biomedical Ontologies in Action: Role in Knowledge Management, Data Integration and Decision Support (2008, background): “Such systems often exploit existing search engines (or term recognition systems) [86, 87], and add specif ic constraints to the search [88, 89].”