Automated classification of clinical trial eligibility criteria text based on ensemble learning and metric learning

Automated classification of clinical trial eligibility criteria text based on ensemble learning and metric learning

Abstract Background Eligibility criteria are the primary strategy for screening the target participants of a clinical trial. Automated classification of clinical trial eligibility criteria text by using machine learning methods improves recruitment efficiency to reduce the cost of clinical research....

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Bibliographic Details
Main Authors: Kun Zeng, Yibin Xu, Ge Lin, Likeng Liang, Tianyong Hao
Format: Article
Language:English
Published: BMC 2021-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Eligibility criteria classification
Metric learning
Focal loss
Ensemble learning
Clinical trial
Online Access:https://doi.org/10.1186/s12911-021-01492-z

Internet

https://doi.org/10.1186/s12911-021-01492-z

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