Predicting Long-Term Health-Related Quality of Life after Bariatric Surgery Using a Conventional Neural Network: A Study Based on the Scandinavian Obesity Surgery Registry
Predicting Long-Term Health-Related Quality of Life after Bariatric Surgery Using a Conventional Neural Network: A Study Based on the Scandinavian Obesity Surgery Registry
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DOI：
10.3390/jcm8122149
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发表时间：
2019-12-01
影响因子：
3.9
通讯作者：
Naslund, Ingmar
中科院分区：
文献类型：
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作者：
Cao, Yang;Raoof, Mustafa;Naslund, Ingmar
严重肥胖与许多合并症和健康相关生活质量（HRQoL）降低有关。尽管许多研究报道了减肥手术后HRQoL的变化，但很少有长期前瞻性研究。我们根据斯堪的纳维亚肥胖手术登记处（SOReg）提供的术前信息，检验了卷积神经网络（CNN）预测减肥手术后5年HRQoL的性能。CNN被用于在训练数据集中预测减肥手术后的5年HRQoL，并在测试数据集中进行评估。总的来说，CNN模型的性能（以均方误差，MSE来衡量）随着卷积层滤波器、计算单元和epoch的增加而增加，而随着批处理规模的增加而下降。CNN模型在预测所有HRQoL指标方面显示出压倒性的优势。CNN模型对训练数据的mse比线性回归模型的mse小8% ~ 80%。当使用测试数据对模型进行评估时，CNN模型的表现优于线性回归模型。然而，CNN模型的过拟合问题很明显。我们的结论是，CNN在预测减肥手术后长期HRQoL方面优于传统的多元线性回归模型；然而，过度拟合问题需要通过使用更多的特征或更多的患者来训练模型来缓解。
Severe obesity has been associated with numerous comorbidities and reduced health-related quality of life (HRQoL). Although many studies have reported changes in HRQoL after bariatric surgery, few were long-term prospective studies. We examined the performance of the convolution neural network (CNN) for predicting 5-year HRQoL after bariatric surgery based on the available preoperative information from the Scandinavian Obesity Surgery Registry (SOReg). CNN was used to predict the 5-year HRQoL after bariatric surgery in a training dataset and evaluated in a test dataset. In general, performance of the CNN model (measured as mean squared error, MSE) increased with more convolution layer filters, computation units, and epochs, and decreased with a larger batch size. The CNN model showed an overwhelming advantage in predicting all the HRQoL measures. The MSEs of the CNN model for training data were 8% to 80% smaller than those of the linear regression model. When the models were evaluated using the test data, the CNN model performed better than the linear regression model. However, the issue of overfitting was apparent in the CNN model. We concluded that the performance of the CNN is better than the traditional multivariate linear regression model in predicting long-term HRQoL after bariatric surgery; however, the overfitting issue needs to be mitigated using more features or more patients to train the model.