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Model of a Support Vector Machine to Assess the Functional Cure for Surgery of Intermittent Exotropia

机译:支持向量机的间歇性外斜视手术功能评估模型

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摘要

In this paper the optimum timing for the postoperative functional cure of basic intermittent exotropia is explored based on support vector machine (SVM). One hundred and thirty-two patients were recruited in this prospective cross-sectional study with 6 months of follow-up. Examinations included angle of deviation, central and peripheral fusion, controllability, and near and distance stereopsis. Influencing factors of postoperative alignment and stereopsis were analyzed with a chi-squared test and univariate and multivariate logistic regression analyses. At 6 months post-operation, there were 84 successful procedures for the angle of deviation, with 4 overcorrections and 44 undercorrections. The success rate was 63.6%. The angle of deviation on postoperative day 1 was the only significant associated factor. One hundred and thirty patients had normal near stereoacuity, 60 had normal distance stereoacuity according to a Functional Visual Analyzer assessment, and 108 had normal stereoacuity as assessed by the Frisby Davis Distance (FD2) stereotest. The age of onset and preoperative distance stereoacuity with FD2 were the influencing factors of postoperative distance stereopsis restoration. The accuracy of this method of SVM was 82.1%. The angle of deviation for distance on postoperative day 1 was the only significant factor that correlated with alignment at 6 months post-operation, and the model of SVM was useful to determine the optimal time of the postoperative functional cure.
机译:本文基于支持向量机(SVM),探讨了基本间歇性外斜视术后功能治愈的最佳时机。在这项前瞻性横断面研究中招募了132名患者,并进行了6个月的随访。考试内容包括偏离角度,中央和周边融合,可控制性以及近距离和远距离立体视。术后对齐和立体视的影响因素通过卡方检验以及单因素和多元logistic回归分析进行了分析。术后6个月,成功完成了84个偏角手术,其中4次过度矫正和44次矫正不足。成功率为63.6%。术后第1天的偏离角度是唯一显着的相关因素。根据功能性视觉分析仪的评估,一百三十名患者的近端立体视力正常,六十名患者的远距离立体视力正常,根据弗里斯比·戴维斯距离(FD2)立体测试,该患者的正常立体视力为108。 FD2的发病年龄和术前远距离立体视是术后远距离立体视恢复的影响因素。该支持向量机方法的准确性为82.1%。术后第1天的距离偏离角度是与术后6个月对准有关的唯一重要因素,SVM模型可用于确定术后功能治愈的最佳时间。

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