Machine learning of patient similarity: A case study on predicting survival in cancer patient after locoregional chemotherapy

2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010

Volumn , Issue , 2010, Pages 467-470

  Chan, L W C ^a   Chan, T ^b   Cheng, L F ^c   Mak, W S ^c  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

^c PRINCESS MARGARET HOSPITAL   (Hong Kong)

Author keywords

Cancer; Machine learning; Patient similarity; Support vector machine; Survival

Indexed keywords

CANCER; CANCER PATIENTS; CLINICAL OUTCOME; DATA SETS; DEGREE OF SIMILARITY; HEPATOCELLULAR CARCINOMA; HISTORICAL RECORDS; IMAGING PARAMETERS; LINEAR KERNEL; MACHINE-LEARNING; PATIENT SIMILARITY; POTENTIAL APPLICATIONS; SIMILARITY ALGORITHM; SIMILARITY MEASURE; SURVIVAL; SURVIVAL TIME;

CHEMOTHERAPY; DISEASES; FORECASTING; STATISTICAL TESTS; SUPPORT VECTOR MACHINES;

BIOINFORMATICS;

EID: 79952019435     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBMW.2010.5703846     Document Type: Conference Paper

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