A clustering-based approach to predict outcome in cancer patients

Proceedings - 6th International Conference on Machine Learning and Applications, ICMLA 2007

Volumn , Issue , 2007, Pages 541-546

  Xing, Kai ^a   Chen, Dechang ^b   Henson, Donald ^c   Sheng, Li ^d  

^a The George Washington University   (United States)

^b UNIFORMED SERVICES UNIVERSITY OF THE HEALTH SCIENCES   (United States)

^c GEORGE WASHINGTON UNIVERSITY   (United States)

^d DREXEL UNIVERSITY   (United States)

Author keywords

Breast cancer; Clustering; Survival curve; TNM

Indexed keywords

ARTIFICIAL INTELLIGENCE; FLOW OF SOLIDS; FORECASTING; ROBOT LEARNING;

ACCURATE PREDICTION; BREAST CANCERS; CANCER PATIENTS; GENERAL CLUSTERING; INTERNATIONAL CONFERENCES; LYMPH NODE (LN); MACHINE-LEARNING; MULTIPLE FACTORS; PATIENT DATASETS;

LEARNING SYSTEMS;

EID: 47349101556     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2007.2     Document Type: Conference Paper

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