An artificial neural network improves prediction of observed survival in patients with laryngeal squamous carcinoma

European Archives of Oto-Rhino-Laryngology

Volumn 263, Issue 6, 2006, Pages 541-547

  Jones, Andrew S ^a   Taktak, Azzam G F ^a   Helliwell, Timothy R ^a   Fenton, John E ^a   Birchall, Martin A ^a   Husband, David J ^a   Fisher, Anthony C ^a  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

Artificial intelligence; Chaos; Complex systems modeling; Laryngeal carcinoma

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CANCER SURVIVAL; CHILD; FEMALE; HUMAN; HUMAN CELL; HUMAN TISSUE; KAPLAN MEIER METHOD; LARYNX CARCINOMA; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL MODEL; MULTIVARIATE ANALYSIS OF COVARIANCE; PRIORITY JOURNAL; PROPORTIONAL HAZARDS MODEL; SQUAMOUS CELL CARCINOMA; SURVIVAL RATE; TRAINING;

CARCINOMA, SQUAMOUS CELL; HUMANS; LARYNGEAL NEOPLASMS; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PROPORTIONAL HAZARDS MODELS; PROSPECTIVE STUDIES; SURVIVAL ANALYSIS;

EID: 33745108811     PISSN: 09374477     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00405-006-0021-2     Document Type: Article

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