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Creating DICOM Structured Reporting Object from Free Text Reports Using the Text Mining Method

https://repo.qst.go.jp/records/68494
https://repo.qst.go.jp/records/68494
40900699-7e97-4aff-b3fd-b2b975eac7af
Item type 会議発表用資料 / Presentation(1)
公開日 2006-06-19
タイトル
タイトル Creating DICOM Structured Reporting Object from Free Text Reports Using the Text Mining Method
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_c94f
資源タイプ conference object
アクセス権
アクセス権 metadata only access
アクセス権URI http://purl.org/coar/access_right/c_14cb
著者 Ando, Yutaka

× Ando, Yutaka

WEKO 672354

Ando, Yutaka

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Tsukamoto, Nobuhiro

× Tsukamoto, Nobuhiro

WEKO 672355

Tsukamoto, Nobuhiro

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Kawaguchi, Osamu

× Kawaguchi, Osamu

WEKO 672356

Kawaguchi, Osamu

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Kasamatsu, Tomotaka

× Kasamatsu, Tomotaka

WEKO 672357

Kasamatsu, Tomotaka

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et.al

× et.al

WEKO 672358

et.al

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安藤 裕

× 安藤 裕

WEKO 672359

en 安藤 裕

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塚本 信宏

× 塚本 信宏

WEKO 672360

en 塚本 信宏

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川口 修

× 川口 修

WEKO 672361

en 川口 修

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抄録
内容記述タイプ Abstract
内容記述 Purpose:DICOM Structured Reporting has advantages, however, many existing reporting systems create and store in free-text format. In this study, we developed and evaluated the automated method for creating structured reports from free-text format.
Methods:100 NM reports (internal data-set)of brain perfusion scintigraphy were analyzed and categorized into expression units using text-mining technology to create a dictionary. Using this dictionary, other 100 reports (external data-set)were analyzed for the accuracy. The results were also compared against manual categorization by physicians.
Results:In internal data-set, 79.5% of sentences has matched, and in external data-set 62.2% of sentences has matched to convert into units.
Discussion:Matching rate can be increased by improving the dictionary. In addition, by
automatically creating DICOM structured reports, clinical information can be easily translated into other languages, transferred to other systems, and can be searched rapidly.
会議概要(会議名, 開催地, 会期, 主催者等)
内容記述タイプ Other
内容記述 RSNA'05 91th Scientific Assembly and Annual Meeting
発表年月日
日付 2005-12-02
日付タイプ Issued
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