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

Supportive Care in Cancer

Volumn 21, Issue 5, 2013, Pages 1341-1350

  Tsai, Jinn Tsong ^a   Hou, Ming Feng ^b,c   Chen, Yao Mei ^d,e   Wan, Thomas T H ^f   Kao, Hao Yun ^e   Shi, Hon Yi ^e  

^a NATIONAL PINGTUNG UNIVERSITY   (Taiwan)

^b KAOHSIUNG MEDICAL UNIVERSITY HOSPITAL   (Taiwan)

^c NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

^d KAOHSIUNG MUNICIPAL HSIAO KANG HOSPITAL   (Taiwan)

^e KAOHSIUNG MEDICAL UNIVERSITY   (Taiwan)

^f UNIVERSITY OF CENTRAL FLORIDA   (United States)

Author keywords

Artificial neural networks; Breast cancer; Multiple regression; Quality of life

Indexed keywords

ACCURACY; ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST CANCER; BREAST SURGERY; CONTROLLED STUDY; FUNCTIONAL STATUS; HUMAN; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MEAN ABSOLUTE PERCENTAGE ERROR; MEAN SQUARE ERROR; MULTILAYER PERCEPTRON NETWORK; MULTIPLE REGRESSION; PREDICTION; PRIORITY JOURNAL; QUALITY OF LIFE; RADIAL BASIS FUNCTION NETWORK; SHORT FORM 36; STATISTICAL MODEL; SURGICAL TECHNIQUE;

BREAST NEOPLASMS; FEMALE; FOLLOW-UP STUDIES; HUMANS; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); QUALITY OF LIFE; REGRESSION ANALYSIS; TIME FACTORS;

EID: 84879685539     PISSN: 09414355     EISSN: 14337339     Source Type: Journal    
DOI: 10.1007/s00520-012-1672-8     Document Type: Article

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