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Developing a Prognostic Gene Panel of Epithelial Ovarian Cancer Patients by a Machine Learning Model

Authors
  • tzu-pin, lu
  • kuo, kuan-ting
  • chen, ching-hsuan
  • chang, ming-cheng
  • lin, hsiu-ping
  • yu-hao, hu
  • chiang, ying-cheng
  • cheng, wen-fang
  • chen, chi-an
Publication Date
Feb 25, 2019
Source
MDPI
Keywords
Language
English
License
Green
External links

Abstract

0.001) were still significant factors for death. In conclusion, the patients of high response group stratified by the model had good response and favourable prognosis, whereas for the patients of medium to low response groups, introduction of other drugs or clinical trials might be beneficial.

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