Automated classification of eligibility criteria in clinical trials to facilitate patient-trial matching for specific patient populations.

Journal: Journal of the American Medical Informatics Association : JAMIA

Published Date: Jul 1, 2017

Abstract

OBJECTIVE: To develop automated classification methods for eligibility criteria in ClinicalTrials.gov to facilitate patient-trial matching for specific populations such as persons living with HIV or pregnant women.

Authors

Kevin Zhang

College of Medicine and Life Sciences, University of Toledo, Toledo, OH, USA.
Dina Demner-Fushman

Lister Hill National Center for Biomedical Communications, National Library of Medicine, Bethesda, MD.

Keywords

Clinical Trials as Topic Datasets as Topic Eligibility Determination HIV Seropositivity Humans Machine Learning Natural Language Processing Neoplasms Patient Selection

External Resources

View on PubMed Access via DOI PubMed (28339690)

Automated classification of eligibility criteria in clinical trials to facilitate patient-trial matching for specific patient populations.

Abstract

Authors

Keywords

External Resources

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