| Presentation | 2014-06-15 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, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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 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. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | critical pathway / CI (critical indicator) / hip replacement arthroplasty / SVM / logistic regression analysis |
| Paper # | NLC2014-11 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2014/6/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Natural Language Understanding and Models of Communication (NLC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Extraction of Determinants of Postoperative Length of Stay from Operation Records |
| Sub Title (in English) | |
| Keyword(1) | critical pathway |
| Keyword(2) | CI (critical indicator) |
| Keyword(3) | hip replacement arthroplasty |
| Keyword(4) | SVM |
| Keyword(5) | logistic regression analysis |
| 1st Author's Name | Takanori YAMASHITA |
| 1st Author's Affiliation | Medical Information Center, Kyushu University Hospital() |
| 2nd Author's Name | Yoshifumi WAKATA |
| 2nd Author's Affiliation | Medical Information Center, Kyushu University Hospital |
| 3rd Author's Name | Satoshi HAMAI |
| 3rd Author's Affiliation | Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University |
| 4th Author's Name | Yasuharu NAKASHIMA |
| 4th Author's Affiliation | Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University |
| 5th Author's Name | Yukihide IWAMOTO |
| 5th Author's Affiliation | Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University |
| 6th Author's Name | Naoki NAKASHIMA |
| 6th Author's Affiliation | Medical Information Center, Kyushu University Hospital |
| 7th Author's Name | Sachio HIROKAWA |
| 7th Author's Affiliation | Research Institute for Information Technology, Kyushu University |
| Date | 2014-06-15 |
| Paper # | NLC2014-11 |
| Volume (vol) | vol.114 |
| Number (no) | 81 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |