RALI-OLST Weekly Talks

Biomedical Literature Triage using Supervised Learning

Hayda Almeida (h_marci <at> encs (point) concordia (point) ca)

Université Concordia

Wednesday 18 February 2015 at 11:30 AM

Salle 3195, Pavillon André-Aisenstadt


We will present mycoSORT, a supervised machine learning based system to support in an automatic manner the first task of the biomedical literature manual curation process, called triage. A representative dataset of the literature triage is commonly large and highly imbalanced, since when curators are screening for relevant research papers, usually the majority of documents is rejected and only a few documents are kept for further analysis.

To tackle the large dataset size and imbalance class distribution issues, we studied the performance of 108 classification models. The results show that the best approach relies on a classification model composed by domain annotations, a balanced dataset (similar class distributions), and the use of a Logistic Model Trees classifier. The system is publicly released as an open source toolkit.


Follow this link to subscribe to future RALI-OLST announcements.
http://rali.iro.umontreal.ca/rali/?q=fr/node/1631

See all the weekly talks for the year:

1991 1992 1993 1994 1995 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024