Interpretable machine learning text classification for clinical computed tomography reports – a case study of temporal bone fracture

Interpretable machine learning text classification for clinical computed tomography reports – a case study of temporal bone fracture

Background: Machine learning (ML) has demonstrated success in classifying patients’ diagnostic outcomes in free-text clinical notes. However, due to the machine learning model's complexity, interpreting the mechanism behind classification results remains difficult. Methods: We investigated inte...

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Bibliographic Details
Main Authors: Tong Ling, Luo Jake, Jazzmyne Adams, Kristen Osinski, Xiaoyu Liu, David Friedland
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Computer Methods and Programs in Biomedicine Update
Subjects:
Interpretable machine learning
Artificial intelligence
Text classification
Bone fracture
Computed tomography
Online Access:http://www.sciencedirect.com/science/article/pii/S2666990023000137

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http://www.sciencedirect.com/science/article/pii/S2666990023000137

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