Automatic medical protocol classification using machine learning approaches.

Journal: Computer methods and programs in biomedicine
Published Date:

Abstract

BACKGROUND AND OBJECTIVE: Assignment of medical imaging procedure protocols requires extensive knowledge about patient's data, usually included in radiological request forms and radiological reports. Assignment of protocol is required prior to radiological study acquisition, determining procedure for each patient. The automation of this protocol assignment process could improve the efficiency of patient's diagnosis. Artificial intelligence has proven to be of great help in these healthcare-related problems, and specifically the application of Natural Language Processing (NLP) techniques for extracting information from text reports has been successfully used in automatic text classification tasks.

Authors

  • Pilar López-Úbeda
    Universidad de Jaén, Jaén, Andalucía, Spain.
  • Manuel Carlos Díaz-Galiano
    SINAI Group - CEATIC - Universidad de Jaén, Campus Las Lagunillas s/n, Jaén E-23071, Spain. Electronic address: mcdiaz@ujaen.es.
  • Teodoro Martín-Noguerol
    MRI Unit, Radiology Department, HT médica Carmelo Torres 2, Jaén 23007, Spain. Electronic address: t.martin.f@htime.org.
  • Antonio Luna
    MRI Unit, Radiology Department, Health Time, Jaén, Spain. Electronic address: aluna70@htime.org.
  • L Alfonso Ureña-López
    SINAI Group - CEATIC - Universidad de Jaén, Campus Las Lagunillas s/n, Jaén E-23071, Spain. Electronic address: laurena@ujaen.es.
  • M Teresa Martín-Valdivia
    SINAI Group - CEATIC - Universidad de Jaén, Campus Las Lagunillas s/n, Jaén E-23071, Spain. Electronic address: maite@ujaen.es.