Machine learning approach for the outcome prediction of temporal lobe epilepsy surgery.
Machine learning approach for the outcome prediction of temporal lobe epilepsy surgery.
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DOI：
10.1371/journal.pone.0062819
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Larrañaga P
中科院分区：
文献类型：
--
作者：
Armañanzas R;Alonso-Nanclares L;Defelipe-Oroquieta J;Kastanauskaite A;de Sola RG;Defelipe J;Bielza C;Larrañaga P
癫痫手术可有效减少癫痫发作的次数和频率，特别是颞叶癫痫（TLE）。然而，这些患者中有很大一部分在手术后继续遭受癫痫发作。在这里，我们使用机器学习方法来预测癫痫手术的结果，基于监督分类数据挖掘，不仅考虑到常见的临床变量，而且还考虑到病理和神经心理学评估。我们已经建立了能够预测继发于海马硬化的TLE患者是否会从癫痫中完全恢复的模型。机器学习分析显示，使用一些临床和神经心理学特征，可以预测结果，估计准确率接近90%。重要的是，并不是所有的特征都需要进行预测;其中一些被证明与预后无关。人格风格被认为是预测结果的关键特征之一。虽然我们研究的案例相对较少，但所有数据都验证了研究结果，表明本研究中描述的机器学习方法可能是一种强大的方法。由于癫痫患者的神经心理学评估是术前评估的标准方案，因此我们建议将这些特定的心理测试和机器学习工具纳入其中，以改善癫痫手术候选人的选择。
Epilepsy surgery is effective in reducing both the number and frequency of seizures, particularly in temporal lobe epilepsy (TLE). Nevertheless, a significant proportion of these patients continue suffering seizures after surgery. Here we used a machine learning approach to predict the outcome of epilepsy surgery based on supervised classification data mining taking into account not only the common clinical variables, but also pathological and neuropsychological evaluations. We have generated models capable of predicting whether a patient with TLE secondary to hippocampal sclerosis will fully recover from epilepsy or not. The machine learning analysis revealed that outcome could be predicted with an estimated accuracy of almost 90% using some clinical and neuropsychological features. Importantly, not all the features were needed to perform the prediction; some of them proved to be irrelevant to the prognosis. Personality style was found to be one of the key features to predict the outcome. Although we examined relatively few cases, findings were verified across all data, showing that the machine learning approach described in the present study may be a powerful method. Since neuropsychological assessment of epileptic patients is a standard protocol in the pre-surgical evaluation, we propose to include these specific psychological tests and machine learning tools to improve the selection of candidates for epilepsy surgery.
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