Text classification for medical informatics: a comparison of models for data mining radiological medical records

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Title

Text classification for medical informatics: a comparison of models for data mining radiological medical records

Content partner

Auckland University of Technology

Collection

Tuwhera

Description

In this study we analyze 1024 free text digital records from pediatric patients who underwent CT scanning. The free text reports are from the digital records of patients who underwent CT scanning in a one-year period in 2004 at the Nagasaki University Medical Hospital in Japan. We use text mining algorithms to model the records. Each scan was evaluated by an expert in the field and classified as to whether the CT scan was necessary or not. A model was built that predicts this classification. ...

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Format

Research paper

Research format

Journal article

Date created

2011

Creator

Claster, WB / Shanmuganathan, S / Ghotbi, N / Sallis, PJ

URL

https://openrepository.aut.ac.nz/handle/10292/6192

Related subjects

Text Mining / Radiology / Bag-of-words / Vectorization / Vector Space Model

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This is a post-peer-review, pre-copyedited version of an article published in Asia Pacific World. The definitive publisher-authenticated version [see citation] is available online at: [see publisher's version].

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