Text Classification in Clinical Practice Guidelines Using Machine-Learning Assisted Pattern-Based Approach

Text Classification in Clinical Practice Guidelines Using Machine-Learning Assisted Pattern-Based Approach

Clinical Practice Guidelines (CPGs) aim to optimize patient care by assisting physicians during the decision-making process. However, guideline adherence is highly affected by its unstructured format and aggregation of background information with disease-specific information. The objective of our st...

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Bibliographic Details
Main Authors: Musarrat Hussain, Jamil Hussain, Taqdir Ali, Syed Imran Ali, Hafiz Syed Muhammad Bilal, Sungyoung Lee, Taechoong Chung
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
recommendation statements identification
guideline processing
pattern extraction
information extraction
clinical text mining
Online Access:https://www.mdpi.com/2076-3417/11/8/3296

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https://www.mdpi.com/2076-3417/11/8/3296

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