Extraction of determinants of postoperative length of stay from operation records

Takanori Yamashita, Yoshifumi Wakata, Naoki Nakashima, Sachio Hirokawa, Satoshi Hamai, Yasuharu Nakashima, Yukihide Iwamoto

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

抄録

Secondary use of clinical text data are gaining much attention in improving the quality and the efficiency of medical treatment. Although there is some case studies of medical-examination text data, there are not many examples fed back to the medical-examination spot. The present paper analyses the operation records of total hip arthroplasty. We extracted feature words that characterize the two peaks which appeared in distribution of postoperative hospital days using SVM (support vector machine) and FS (feature selection). The models gained by optimal FS attained 60% accuracy as prediction performance. We applied logistic regression analysis to estimate postoperative length of stay from the extracted feature words. Most words were not statistically significant except two words.

本文言語英語
ホスト出版物のタイトルProceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014
出版社IEEE Computer Society
ページ822-827
ページ数6
ISBN(印刷版)9781479945658
DOI
出版ステータス出版済み - 2014
イベント2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014 - Ottawa, ON, カナダ
継続期間: 5月 8 20145月 9 2014

出版物シリーズ

名前Proceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014

その他

その他2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014
国/地域カナダ
CityOttawa, ON
Period5/8/145/9/14

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

フィンガープリント

「Extraction of determinants of postoperative length of stay from operation records」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル