Text Mining Pipeline to Accelerate Systematic Reviews in Evidence-Based Medicine

This is the project website for "Text Mining Pipeline to Accelerate Systematic Reviews in Evidence-Based Medicine", NLM R01LM010817, Aaron M. Cohen and Neil R. Smalheiser, dual PIs.

	RCT Tagger: Automated RCT tagger for identifying human randomized controlled clinical trial articles Aggregator: Clustering together RCT articles predicted to arise from the same underlying clinical trial
Multi-Tagger: Predictive scores for 50 publication types and study designs for PubMed-indexed articles
Human-related Tagger: Automated tagger for identifying human-related articles
Deduplicator: Deduplication of article records from bibliographic databases
	Trials to Publications: For a given registered clinical trial in ClinicalTrials.gov, finds articles most likely to present trial outcome results for that trial
References
Repository of Processed Text and Resources
	Tutorial: Tutorial given at the 5th ACM BCB: Informatics approaches to Evidence-Based Medicine, with emphasis on Systematic Reviews
	Workshop: Workshop on Embeddings and other Vector-based Representations in Biomedical and Clinical Text, located at the IEEE ICHI 2019 conference, Beijing, China, June 10, 2019.

We welcome and appreciate any comments you may have via e-mail to Neil R. Smalheiser

Oregon Health and Science University, Department of Medical Informatics and Clinical Epidemiology:
  Aaron M. Cohen, MD, MS
  Marion S. McDonagh, PharmD
  Kyle Ambert
  Tracy Edinger

Binghamton University:
  Weiyi Meng, PhD
  Yu Jiang
  Can Lin

University of Nottingham:
Clive E. Adams, MB, BCh, BAO, MRCPsych, MSc(Epid)

Last modified: February 18, 2021

Investigators and sites involved: