Latent Dirichlet Allocation in predicting clinical trial terminations

Latent Dirichlet Allocation in predicting clinical trial terminations

Abstract Background This study used natural language processing (NLP) and machine learning (ML) techniques to identify reliable patterns from within research narrative documents to distinguish studies that complete successfully, from the ones that terminate. Recent research findings have reported th...

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Bibliographic Details
Main Authors: Simon Geletta, Lendie Follett, Marcia Laugerman
Format: Article
Language:English
Published: BMC 2019-11-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Clinical trials
Structured data
Unstructured data
Latent Dirichlet allocation
Prediction
Online Access:http://link.springer.com/article/10.1186/s12911-019-0973-y

Internet

http://link.springer.com/article/10.1186/s12911-019-0973-y

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