Improving Medical Document Classification via Feature Engineering

About this item

Title

Improving Medical Document Classification via Feature Engineering

Content partner

Victoria University of Wellington

Collection

Open Access Victoria University of Wellington

Description

Document classification (DC) is the task of assigning the predefined labels to unseen documents by utilizing the model trained on the available labeled documents. DC has recently attracted much attention in the medical field because many issues can be formulated as classification problems. For example, categorizing clinical risk factors, automatic disease classification, and electronic health records classification are some applications of text classification. DC is critical for medical docu...

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Format

Research paper

Research format

Scholarly text / Thesis

Thesis level

Doctoral

Date created

2024

Creator

Mahdi Abdollahi

URL

https://figshare.com/articles/thesis/Improving_Medical_Document_Classification_via_Feature_Engine...

Related subjects

Machine learning / Natural Language Processing / Medical Document Classification / Machine Learning / Degree Name: Doctor of Philosophy / Degree Level: Doctoral / Degree Discipline: Computer Science

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