Abstract
Abstract The subjectivity and variability of pain conditions, combined with missing data, are constraints on the usefulness and accuracy of computerised clinical decision support systems (CCDSS) for pain management. In this paper, a CCDSS based on data imputation combined with statistics models is presented. This system was tested using clinical data collected during a six-week randomised controlled trial involving thirty-two volunteers recruited from an ambulatory surgery department. The proposed system revealed it ability to cope with missing data and detect either stability or changes in the self-reporting of pain, and therefore, to support health care professionals on clinical decisions and practices for pain management.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
