Improving Medical Information Retrieval with PICO Element Detection

@inproceedings{Boudin2010ImprovingMI,
  title={Improving Medical Information Retrieval with PICO Element Detection},
  author={Florian Boudin and Lixin Shi and Jian-Yun Nie},
  booktitle={ECIR},
  year={2010}
}
Without a well formulated and structured question, it can be very difficult and time consuming for physicians to identify appropriate resources and search for the best available evidence for medical treatment in evidence-based medicine (EBM). In EBM, clinical studies and questions involve four aspects: Population/Problem (P), Intervention (I), Comparison (C) and Outcome (O), which are known as PICO elements. It is intuitively more advantageous to use these elements in Information Retrieval (IR… CONTINUE READING

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Fuzzy ontology-based Medical Information Retrieval

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) • 2016

PICO extraction by combining the robustness of machine-learning methods with the rule-based methods

2015 World Congress on Information Technology and Computer Applications (WCITCA) • 2015

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