Discovering Key Topics From Short, Real-World Medical Inquiries via Natural Language Processing

Discovering Key Topics From Short, Real-World Medical Inquiries via Natural Language Processing

Millions of unsolicited medical inquiries are received by pharmaceutical companies every year. It has been hypothesized that these inquiries represent a treasure trove of information, potentially giving insight into matters regarding medicinal products and the associated medical treatments. However,...

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Bibliographic Details
Main Authors: A. Ziletti, C. Berns, O. Treichel, T. Weber, J. Liang, S. Kammerath, M. Schwaerzler, J. Virayah, D. Ruau, X. Ma, A. Mattern
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Computer Science
Subjects:
natural language processing
machine learning
medical inquiries
clustering
medical information
topic discovery
Online Access:https://www.frontiersin.org/articles/10.3389/fcomp.2021.672867/full

Internet

https://www.frontiersin.org/articles/10.3389/fcomp.2021.672867/full

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