Improving the Prediction Performance of the Incidence of Xerostomia After Radiotherapy Using The Least Absolute Shrinkage and Selection Operator In Head and Neck Cancer Patients

碩士 === 國立高雄應用科技大學 === 電子工程系碩士班 === 101 === Purpose: Artificial neural networks and multivariate logistic regression were used to establish the prediction model of how xerostomia is affected by radiotherapy after 3 months and 12 months for patients with head and neck cancer (HNC). Two predictable var...

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Bibliographic Details
Main Authors: Lin Shih-Yao, 林世耀
Other Authors: Lee Tsair-Fwu
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/3qrs2b