Predictive models for pre-operative diagnosis of rotator cuff tear: A comparison study of two methods between logistic regression and artificial neural network

Applied Mechanics and Materials

Volumn 595, Issue , 2014, Pages 263-268

  Li, Chen Chiang ^a,b,c,d   Chan, Hsin Hui ^a,b,c,d   Huang, Chen Yuan ^b,d   Yang, Nang Shu ^b,d  

^a Department of Orthopedics National Taiwan University Hospital Yun Lin Branch ^*  (Taiwan)

^b National Kinmen Institute of Technology   (Taiwan)

^c NATIONAL TAIWAN UNIVERSITY HOSPITAL   (Taiwan)

^d NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Artificial neural network; Logistic regression; Predictive mode; Rotator cuff tear

Indexed keywords

MAGNETIC RESONANCE IMAGING; REGRESSION ANALYSIS;

ARTIFICIAL NEURAL NETWORK MODELING; COMPARISON STUDY; LOGISTIC REGRESSION MODELING; LOGISTIC REGRESSIONS; PREDICTIVE ACCURACY; PREDICTIVE MODE; PREDICTIVE MODELS; ROTATOR CUFF;

NEURAL NETWORKS;

EID: 84904972978     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.595.263     Document Type: Conference Paper

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