Applications of data mining to postoperative pain management

Yuh-Jyh Hu*, Rong Hong Jan, Kuo-Chen Wang, Yu-Chee Tseng, Tien Hsiung Ku, Shu Fen Yang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Appropriate postoperative pain management contributes to earlier mobilization, shorter hospitalization, and reduced cost. Undertreatment of pain may impede short-term recovery, and may even have a detrimental long-tern effect on health. Despite the advancement in postoperative pain management, pain relief and patient satisfaction still does not meet some patients' requirement. By applying data mining techniques, this study aimed to identify the predictive factors for anesthetic dosage and PCA (Patient Controlled Analgesia) demands. With the assistance of Changhua Christian Hospital, we collected 1655 PCA patient records. We analyzed patient PCA usage profiles. We concentrated on two prediction tasks in this study: (a) postoperative analgesic consumption, and (2) PCA setting readjustment.

Original languageEnglish
Title of host publicationProceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011
Pages3-10
Number of pages8
StatePublished - 1 Dec 2011
EventIADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011 - Rome, Italy
Duration: 24 Jul 201126 Jul 2011

Publication series

NameProceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011

Conference

ConferenceIADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011
CountryItaly
CityRome
Period24/07/1126/07/11

Keywords

  • Bagging
  • Clustering
  • Decision trees
  • Intramuscular (IM)
  • Patient controlled analgesia (PCA)

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