Machine Learning Techniques for Predicting the Short-Term Outcome of Resective Surgery in Lesional-Drug Resistance Epilepsy

Zahra Jourahmad; Jafar Mehvari Habibabadi; Houshang Moein; Reza Basiratnia; Ali Rahmani Geranqayeh; Saeed Shiry Ghidary; Seyed-Ali Sadegh-Zadeh

arXiv · 2302.10901

Machine Learning Techniques for Predicting the Short-Term Outcome of Resective Surgery in Lesional-Drug Resistance Epilepsy

Zahra Jourahmad·Jafar Mehvari Habibabadi·Houshang Moein·Reza Basiratnia·Ali Rahmani Geranqayeh·Saeed Shiry Ghidary·Seyed-Ali Sadegh-Zadeh

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Abstract

In this study, we developed and tested machine learning models to predict epilepsy surgical outcome using noninvasive clinical and demographic data from patients. Methods: Seven dif-ferent categorization algorithms were used to analyze the data. The techniques are also evaluated using the Leave-One-Out method. For precise evaluation of the results, the parameters accuracy, precision, recall and, F1-score are calculated. Results: Our findings revealed that a machine learning-based presurgical model of patients' clinical features may accurately predict the outcome of epilepsy surgery in patients with drug-resistant lesional epilepsy. The support vector machine (SVM) with the linear kernel yielded 76.1% in terms of accuracy could predict results in 96.7% of temporal lobe epilepsy (TLE) patients and 79.5% of extratemporal lobe epilepsy (ETLE) cases using ten clinical features. Significance: To predict the outcome of epilepsy surgery, this study recommends the use of a machine learning strategy based on supervised classification and se-lection of feature subsets data mining. Progress in the development of machine learning-based prediction models offers optimism for personalised medicine access.

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Zahra Jourahmad, Jafar Mehvari Habibabadi, Houshang Moein, Reza Basiratnia, Ali Rahmani Geranqayeh, Saeed Shiry Ghidary, Seyed-Ali Sadegh-Zadeh. 2023-02-10. Machine Learning Techniques for Predicting the Short-Term Outcome of Resective Surgery in Lesional-Drug Resistance Epilepsy. https://arxiv.org/abs/2302.10901

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