https://scholars.lib.ntu.edu.tw/handle/123456789/628791
標題: | Hip fracture risk assessment: artificial neural network outperforms conditional logistic regression in an age- and sex-matched case control study | 作者: | WO-JAN TSENG LI-WEI HUNG Shieh, Jiann-Shing Abbod, Maysam F Lin, Jinn |
關鍵字: | Hip fracture; Artificial neural network; Conditional logistic regression; Discrimination; Calibration; POSTMENOPAUSAL CHINESE WOMEN; OSTEOPOROTIC FRACTURES; WHITE WOMEN; PREDICTION; MODELS; CLASSIFICATION; ENSEMBLE; MEN | 公開日期: | 15-七月-2013 | 出版社: | BIOMED CENTRAL LTD | 卷: | 14 | 期: | 1 | 來源出版物: | BMC musculoskeletal disorders | 摘要: | Osteoporotic hip fractures with a significant morbidity and excess mortality among the elderly have imposed huge health and economic burdens on societies worldwide. In this age- and sex-matched case control study, we examined the risk factors of hip fractures and assessed the fracture risk by conditional logistic regression (CLR) and ensemble artificial neural network (ANN). The performances of these two classifiers were compared. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/628791 | ISSN: | 1471-2474 | DOI: | 10.1186/1471-2474-14-207 |
顯示於: | 醫學系 |
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