| Literature DB >> 31438189 |
Paul M Heider1, Stéphane M Meystre1.
Abstract
Automated extraction of patient trial eligibility for clinical research studies can increase enrollment at a decreased time and money cost. We have developed a modular trial eligibility pipeline including patient-batched processing and an internal webservice backed by a uimaFIT pipeline as part of a multi-phase approach to include note-batched processing, the ability to query trials matching patients or patients matching trials, and an external alignment engine to connect patients to trials.Entities:
Keywords: Eligibility Determination; Machine Learning; Natural Language Processing
Mesh:
Year: 2019 PMID: 31438189 PMCID: PMC6944198 DOI: 10.3233/SHTI190492
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630