Literature DB >> 22088867

Improving the medical scale predictability by the pairwise comparisons method: evidence from a clinical data study.

Tamar Kakiashvili1, Waldemar W Koczkodaj, Marc Woodbury-Smith.   

Abstract

In the clinical practice of psychiatry, presence or absence of particular symptoms is based on the subjective interpretation, by the clinician, of mental and behavioural descriptions offered by the patient. However, this subjectivity that characterizes the diagnostic decision making process may limit the reliability of diagnosis. In this current study, the pairwise comparisons (PC) method is used to investigate whether the psychometric properties of a medical screening questionnaire can be improved. The pilot data described herein did indeed demonstrate that modest improvements in diagnostic accuracy could be achieved using PC, and provides early evidence that the inconsistency produced by subjective clinical ratings can be reduced using this method, thus providing impetus for further investigation.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 22088867     DOI: 10.1016/j.cmpb.2011.09.011

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  3 in total

1.  How to reduce the number of rating scale items without predictability loss?

Authors:  W W Koczkodaj; T Kakiashvili; A Szymańska; J Montero-Marin; R Araya; J Garcia-Campayo; K Rutkowski; D Strzałka
Journal:  Scientometrics       Date:  2017-02-16       Impact factor: 3.238

2.  Most Popular Signal Processing Methods in Motor-Imagery BCI: A Review and Meta-Analysis.

Authors:  Piotr Wierzgała; Dariusz Zapała; Grzegorz M Wojcik; Jolanta Masiak
Journal:  Front Neuroinform       Date:  2018-11-06       Impact factor: 4.081

3.  1,000,000 cases of COVID-19 outside of China: The date predicted by a simple heuristic.

Authors:  W W Koczkodaj; M A Mansournia; W Pedrycz; A Wolny-Dominiak; P F Zabrodskii; D Strzałka; T Armstrong; A H Zolfaghari; M Dębski; J Mazurek
Journal:  Glob Epidemiol       Date:  2020-03-23
  3 in total

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