Predicting quality of life after breast cancer surgery using ANN-based models: performance comparison with MR

Purpose The goal was to develop models for predicting long-term quality of life (QOL) after breast cancer surgery. Methods Data were obtained from 203 breast cancer patients who completed the SF-36 health survey before and 2 years after surgery. Two of the models used to predict QOL after surgery we...

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Veröffentlicht in:	Supportive care in cancer 2013-05, Vol.21 (5), p.1341-1350
Hauptverfasser:	Tsai, Jinn-Tsong, Hou, Ming-Feng, Chen, Yao-Mei, Wan, Thomas T. H., Kao, Hao-Yun, Shi, Hon-Yi
Format:	Artikel
Sprache:	eng
Schlagworte:	Breast cancer Breast Neoplasms - surgery Cancer patients Comparative analysis Female Follow-Up Studies Humans Medicine Medicine & Public Health Models, Statistical Neural networks Neural Networks (Computer) Nursing Nursing Research Oncology Original Article Pain Medicine Predictions Quality of Life Regression Analysis Rehabilitation Medicine Surgery Surveys Time Factors
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