Hamming clustering techniques for the identification of prognostic indices in patients with advanced head and neck cancer treated with radiation therapy

Medical and Biological Engineering and Computing

Volumn 38, Issue 5, 2000, Pages 483-486

  Paoli, G ^a   Muselli, M ^b   Bellazzi, R ^c   Corvo R ^a   Liberati, D ^b   Foppiano, F ^a  

^a UNIVERSITY OF GENOA   (Italy)

^b CNR   (Italy)

^c UNIVERSITY OF PAVIA   (Italy)

Author keywords

Classification; Hamming clustering; Head and neck cancer; Radiotherapy

Indexed keywords

CHEMOTHERAPY; LEARNING ALGORITHMS; NEURAL NETWORKS; ONCOLOGY; RADIOTHERAPY;

HAMMING CLUSTERING (HC); LYMPHONODES; PROGNOSTIC INDICES;

COMPUTER AIDED DIAGNOSIS;

CISPLATIN; DNA; FLUOROURACIL;

ADULT; ADVANCED CANCER; AGED; ARTICLE; CANCER CHEMOTHERAPY; CANCER CLASSIFICATION; CANCER GROWTH; CANCER RADIOTHERAPY; CANCER SURVIVAL; CLUSTER ANALYSIS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; HEAD AND NECK CANCER; HUMAN; LYMPH NODE; MAJOR CLINICAL STUDY; NONLINEAR SYSTEM; PLOIDY; PROGNOSIS;

EID: 0034281914     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02345741     Document Type: Article

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