A clustering approach in developing prognostic systems of cancer patients

Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008

Volumn , Issue , 2008, Pages 723-728

  Chen, Dechang ^a   Henson, Donald ^b   Schwartz, Arnold M ^b   Xing, Kai ^c   Sheng, Li ^d   Cheng, Xiuzhen ^c  

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

^b GEORGE WASHINGTON UNIVERSITY   (United States)

^c The George Washington University   (United States)

^d DREXEL UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURATE PREDICTIONS; CANCER PATIENTS; CLUSTERING APPROACHES; DATA PARTITIONS; DATA-SETS; DISSIMILARITY MEASURES; HIERARCHICAL CLUSTERING METHODS; LUNG CANCERS; LYMPH NODES; MACHINE-LEARNING; MULTIPLE CLUSTERINGS; MULTIPLE FACTORS; OUTCOME PREDICTIONS; PREDICTION SYSTEMS; PROGNOSTIC FACTORS; SURVIVAL FUNCTIONS; SURVIVAL PREDICTIONS; SURVIVAL RATES;

ROBOT LEARNING;

EID: 60649088849     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2008.40     Document Type: Conference Paper

References (11)

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