Identification of surgical practice patterns using evolutionary cluster analysis

Mathematical and Computer Modelling

Volumn 50, Issue 5-6, 2009, Pages 705-712

  Herrera, Manuel ^a   Izquierdo, Joaquín ^a   Montalvo, Idel ^a   García Armengol, Juan ^b   Roig, José V ^b  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^b HOSPITAL CLÍNICO UNIVERSITARIO   (Spain)

Author keywords

Colorectal surgery; Evolutionary algorithm; Multimodal rehabilitation; Particle swarm optimization; Partitional clustering; Perioperative praxis

Indexed keywords

COLORECTAL SURGERY; COMPLEX DATA; COMPUTATIONAL EFFORT; CONTINUOUS OPTIMIZATION; DATA ANALYSIS; HIGH-DIMENSIONAL; MACHINE-LEARNING; META HEURISTICS; MULTI-MODAL; MULTIMODAL REHABILITATION; OPTIMUM SOLUTION; PARAMETER VALUES; PARTITIONAL CLUSTERING; PERIOPERATIVE PRAXIS; POPULATION DIVERSITY; REAL WORLD DATA; REAL-WORLD PROBLEM; ROBUST METHODS; SEARCH TECHNIQUE; SELF-ADAPTIVE; STATISTICAL CLUSTERING;

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; PATIENT REHABILITATION; POPULATION STATISTICS; SURGERY;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 68449087501     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2008.12.026     Document Type: Article

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