title: [A comparative study of maintenance services using the data-mining technique].
abstract: OBJECTIVE
  The main goal in this research was comparing two hospitals' maintenance service quality. One of them had a contract service; the other one had an in-house maintenance service.
  
  
  METHODS
  The authors followed the next stages when conducting this research: domain understanding, data characterisation and sample reduction, insight characterisation and building the TAT predictor. Multiple linear regression and clustering techniques were used for improving the efficiency of corrective maintenance tasks in a clinical engineering department (CED). The indicator being studied was turnaround time (TAT).
  
  
  RESULTS
  The institution having an in-house maintenance service had better quality indicators than the contract maintenance service.
  
  
  CONCLUSIONS
  There was lineal dependence between availability and service productivity.
authors.affiliation: Escuela de Medicina, Universidad del Rosario. Bogotá D.C., Colombia. Antonio.cruz43.@urosario.edu.co
authors.forename: Antonio M
authors.initials: AM
authors.lastname: Cruz
authors.forename: Wilmer A
authors.initials: WA
authors.lastname: Aguilera-Huertas
authors.forename: Darío A
authors.initials: DA
authors.lastname: Días-Mora
mesh_terms: D001698:Biomedical Engineering / Q000295:instrumentation*; D003105:Colombia; D057225:Data Mining; D006801:Humans; D008284:Maintenance and Engineering, Hospital / Q000592:standards*