Salah, M., Saatchi, R., Lecky, F. orcid.org/0000-0001-6806-0921 et al. (1 more author) (2020) Traumatic brain injury probability of survival assessment in adults using iterative random comparison classification. Healthcare Technology Letters, 7 (5). pp. 119-124. ISSN 2053-3713
Abstract
Trauma brain injury (TBI) is the most common cause of death and disability in young adults. A method to determine the probability of survival (Ps) in trauma called iterative random comparison classification (IRCC) was developed and its performance was evaluated in TBI. IRCC operates by iteratively comparing the test case with randomly chosen subgroups of cases from a database of known outcomes (survivors and not survivors) and determines the overall percentage match. The performance of IRCC to determine Ps in TBI was compared with two existing methods. One was Ps14 that uses regression and the other was predictive statistical diagnosis (PSD) that is based on Bayesian statistic. The TBI database contained 4124 adult cases (mean age 67.9 years, standard deviation 21.6) of which 3553 (86.2%) were survivors and 571 (13.8%) were not survivors. IRCC determined Ps for the survivors and not survivors with an accuracy of 79.0 and 71.4%, respectively, while the corresponding values for Ps14 were 97.4% (survivors) and 40.2% (not survivors) and for PSD were 90.8% (survivors) and 50% (not survivors). IRCC could be valuable for determining Ps in TBI and with a suitable database in other traumas.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Healthcare Technology Letters published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. This is an open access article published by the IET under the Creative Commons Attribution‐NonCommercial‐NoDerivs License (http://creativecommons.org/licenses/by‐nc‐nd/3.0/) |
Keywords: | Bayes methods; iterative methods; medical image processing; statistical analysis; brain; biomechanics; computerised tomography; injuries; neurophysiology; diseases; regression analysis; paediatrics; iterative random comparison classification; trauma brain injury; young adults; IRCC; survivors; Ps14; TBI database; traumatic brain injury probability; survival assessment; adult cases |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 Jan 2021 15:47 |
Last Modified: | 25 Jan 2021 16:00 |
Status: | Published |
Publisher: | Institution of Engineering and Technology (IET) |
Refereed: | Yes |
Identification Number: | 10.1049/htl.2019.0029 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:169553 |