Traumatic brain injury probability of survival assessment in adults using iterative random comparison classification

SALAH, Mohammed, SAATCHI, Reza, LECKY, Fiona and BURKE, Derek (2020). Traumatic brain injury probability of survival assessment in adults using iterative random comparison classification. Healthcare Technology Letters, 1-7.

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    Abstract

    Trauma brain injury (TBI) is the most common cause of death and disability in young adults. A method to determine 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.

    Item Type: Article
    Page Range: 1-7
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 08 Jul 2020 15:03
    Last Modified: 09 Oct 2020 09:08
    URI: http://shura.shu.ac.uk/id/eprint/26589

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