Evidence-Based Medicine (EBM) aims to apply the best available evidence gained from scientific methods to clinical decision making. A generally accepted criterion to formulate evidence is to use the PICO framework, where PICO stands for Problem/Population, Intervention, Comparison, and Outcome. Automatic extraction of PICO-related sentences from medical literature is crucial to the success of many EBM applications. In this work, we present our Aceso system, which automatically generates PICO-based evidence summaries from medical literature.

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[1] Ping Geng, Zhang Tengteng, "ACESO-DATASET", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/m58f-gy93. Accessed: Apr. 22, 2024.
@data{m58f-gy93-20,
doi = {10.21227/m58f-gy93},
url = {http://dx.doi.org/10.21227/m58f-gy93},
author = {Ping Geng; Zhang Tengteng },
publisher = {IEEE Dataport},
title = {ACESO-DATASET},
year = {2020} }
TY - DATA
T1 - ACESO-DATASET
AU - Ping Geng; Zhang Tengteng
PY - 2020
PB - IEEE Dataport
UR - 10.21227/m58f-gy93
ER -
Ping Geng, Zhang Tengteng. (2020). ACESO-DATASET. IEEE Dataport. http://dx.doi.org/10.21227/m58f-gy93
Ping Geng, Zhang Tengteng, 2020. ACESO-DATASET. Available at: http://dx.doi.org/10.21227/m58f-gy93.
Ping Geng, Zhang Tengteng. (2020). "ACESO-DATASET." Web.
1. Ping Geng, Zhang Tengteng. ACESO-DATASET [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/m58f-gy93
Ping Geng, Zhang Tengteng. "ACESO-DATASET." doi: 10.21227/m58f-gy93