Robust predictive model for evaluating breast cancer survivability

Engineering Applications of Artificial Intelligence

Volumn 26, Issue 9, 2013, Pages 2194-2205

  Park, Kanghee ^a   Ali, Amna ^a   Kim, Dokyoon ^b   An, Yeolwoo ^a   Kim, Minkoo ^a   Shin, Hyunjung ^a  

^a Ajou University   (South Korea)

^b Seoul National University College of Medicine   (South Korea)

Author keywords

Breast cancer survivability; Machine learning; Semi supervised learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; DEEP NEURAL NETWORKS; DIAGNOSIS; DISEASES; LEARNING ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS; NOISE ABATEMENT; STABILITY;

BREAST CANCER; COMPARATIVE STUDIES; DIAGNOSIS AND PROGNOSIS; MACHINE LEARNING MODELS; MEDICAL PROFESSIONALS; OVERALL ACCURACIES; PREDICTIVE MODELING; SEMI- SUPERVISED LEARNING;

SUPERVISED LEARNING;

EID: 84888389162     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2013.06.013     Document Type: Article

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