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Knowledge discovery about quality of life changes of spinal cord injury patients: clustering based on rules by states

Autor
Gibert, Karina; García-Rudolph, A.; Curcoll, L.; Soler, D.; Pla, L.; Tormos, J.
Tipus d'activitat
Article en revista
Revista
Studies in health technology and informatics
Data de publicació
2009-08-01
Volum
150
Pàgina inicial
579
Pàgina final
583
DOI
10.3233/978-1-60750-044-5-579
Repositori
http://hdl.handle.net/2117/8203 Obrir en finestra nova
URL
http://person.hst.aau.dk/ska/MIE2009/papers/MIE2009p0579.pdf Obrir en finestra nova
Resum
In this paper, an integral Knowledge Discovery Methodology, named Clustering based on rules by States, which incorporates artificial intelligence (AI) and statistical methods as well as interpretation-oriented tools, is used for extracting knowledge patterns about the evolution over time of the Quality of Life (QoL) of patients with Spinal Cord Injury. The methodology incorporates the interaction with experts as a crucial element with the clustering methodology to guarantee usefulness of the res...
Citació
Gibert, C. [et al.]. Knowledge discovery about quality of life changes of spinal cord injury patients: clustering based on rules by states. "Studies in health technology and informatics", 01 Agost 2009, vol. 150, p. 579-583.
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants

  • Gibert, Karina  (autor)
  • García Rudolph, Alejandro  (autor)
  • Curcoll, Lluïsa  (autor)
  • Soler, Dolors  (autor)
  • Pla, Laura  (autor)
  • Tormos, José Maria  (autor)