PICO element detection in medical text without metadata: Are first sentences enough?
Two sets of naive Bayes classifiers were developed for PICO detection. We trained one set with first sentences and the other with all sentences. The first-sentence classifier performs slightly better for patient (P) elements. The all-sentence classifier performs better for intervention (I) elements. The performances are about the same for outcome (O) elements.
text mining information retrieval natural language processing question answering information extraction evidence-based medicine