Paper Abstract and Keywords |
Presentation |
2014-06-15 09:25
Extraction of Determinants of Postoperative Length of Stay from Operation Records Takanori Yamashita, Yoshifumi Wakata, Satoshi Hamai, Yasuharu Nakashima, Yukihide Iwamoto, Naoki Nakashima, Sachio Hirokawa (Kyushu Univ.) NLC2014-11 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
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 feed 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. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
critical path / critical indicator / hip replacement arthroplasty / SVM / logistic regression analysis / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 81, NLC2014-11, pp. 59-64, June 2014. |
Paper # |
NLC2014-11 |
Date of Issue |
2014-06-07 (NLC) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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NLC2014-11 |