86 - NLP for Evidence-based Medicine, with Byron Wallace

In this episode, Byron Wallace tells us about interdisciplinary
work between evidence based medicine and natural language
processing. We discuss extracting PICO frames from articles
describing clinical trials and data available for direct and weak
supervision. We also discuss automating the assessment of risks of
bias in, e.g., random sequence generation, allocation containment
and outcome assessment, which have been used to help domain experts
who need to review hundreds of articles. Byron Wallace's homepage:
http://www.byronwallace.com/ EBM-NLP dataset:
https://ebm-nlp.herokuapp.com/ MIMIC dataset:
https://mimic.physionet.org/ Cochrane database of systematic
reviews: https://www.cochranelibrary.com/cdsr/about-cdsr The bioNLP
workshop at ACL'19 (submission due date was extended to May 10):
https://aclweb.org/aclwiki/BioNLP_Workshop The workshop on health
text mining and information analysis at EMNLP'19:
https://louhi2019.fbk.eu/ Machine learning for healthcare
conference: https://www.mlforhc.org/