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Influencing Factors of Aphasia Severity: An Empirical Study Based on AphasiaBank

International Journal of Medical Science
© 2025 by SSRG - IJMS Journal
Volume 12 Issue 5
Year of Publication : 2025
Authors : Wu Ling Liu Kaipeng
10.14445/23939117/IJMS-V12I5P102
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How to Cite?

Wu Ling Liu Kaipeng, "Influencing Factors of Aphasia Severity: An Empirical Study Based on AphasiaBank," SSRG International Journal of Medical Science, vol. 12,  no. 5, pp. 5-9, 2025. Crossref, https://doi.org/10.14445/23939117/IJMS-V12I5P102

Abstract:

This study creates a predictive model by methodically analyzing the effects of age, education level, gender, and aphasia type on aphasia severity using data from 232 aphasia patients from the AphasiaBank database. According to the findings, there is no discernible linear correlation between aphasia severity and either age or educational attainment. Nonetheless, decision tree and random forest models show that these two factors, combined with the type of aphasia, can accurately predict severity; the random forest model has an accuracy of 80%. On the Western Aphasia Battery (WAB), female patients scored significantly higher than male patients (p < 0.05), indicating that females have milder aphasia. However, a linear mixed-effects model suggests that sample randomness may have an impact on this finding. This study reveals the multifactorial interplay underlying aphasia severity and provides data-driven support for the development of personalized diagnostic and rehabilitation strategies in clinical practice.

Keywords:

Aphasia severity, Influencing factors, Predictive modeling, Random Forest, Western Aphasia Battery.

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