Unraveling Functional Dysphagia: A Game-Changing Automated Machine-Learning Diagnostic Approach

IF 2.5 4区 综合性期刊 Q2 CHEMISTRY, MULTIDISCIPLINARY
A. Zifan, Junyue Lin, Zihan Peng, Yiqing Bo, R. Mittal
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Abstract

(1) Background: Dysphagia affects around 16% of the US population. Diagnostic tests like X-ray barium swallow and endoscopy are used initially to diagnose the cause of dysphagia, followed by high-resolution esophageal manometry (HRM). If the above tests are normal, the patient is classified as functional dysphagia (FD), suggesting esophageal sensory dysfunction. HRM records only the contraction phase of peristalsis, not the distension phase. We investigated the utilization of esophageal distension–contraction patterns for the automatic classification of FD, using artificial intelligent shallow learners. (2) Methods: Studies were performed in 30 healthy subjects and 30 patients with FD. Custom-built software (Dplots 1.0) was used to extract relevant esophageal distension–contraction features. Next, we used multiple shallow learners, namely support vector machines, random forest, K-nearest neighbors, and logistic regression, to determine which had the best performance in terms of accuracy, precision, and recall. (3) Results: In the proximal segment, LR produced the best results, with accuracy of 91.7% and precision of 92.86%, using only distension features. In the distal segment, random forest produced accuracy of 90.5% and precision of 91.1% using both pressure and distension features. (4) Conclusions: Findings emphasize the crucial role of abnormality in the distension phase of peristalsis in FD patients.
解开功能性吞咽困难:一种改变游戏规则的自动机器学习诊断方法
(1)背景:美国约16%的人口患有吞咽困难。诊断测试如x线钡餐和内窥镜检查最初用于诊断吞咽困难的原因,然后是高分辨率食管测压仪(HRM)。如果以上检查均正常,则分类为功能性吞咽困难(FD),提示食管感觉功能障碍。HRM只记录了蠕动的收缩阶段,没有记录膨胀阶段。我们研究了利用食管扩张-收缩模式进行FD自动分类,使用人工智能浅层学习器。(2)方法:选取30名健康受试者和30名FD患者进行研究。使用定制软件(Dplots 1.0)提取相关食管扩张-收缩特征。接下来,我们使用多个浅学习器,即支持向量机、随机森林、k近邻和逻辑回归,以确定哪一个在准确性、精度和召回率方面具有最佳性能。(3)结果:在近段,仅使用扩张特征时,LR效果最好,准确率为91.7%,精密度为92.86%。在远节段,随机森林同时使用压力和膨胀特征,准确度分别为90.5%和91.1%。(4)结论:研究结果强调了异常在FD患者肠膨胀期的关键作用。
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来源期刊
Applied Sciences-Basel
Applied Sciences-Basel CHEMISTRY, MULTIDISCIPLINARYMATERIALS SCIE-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
5.30
自引率
11.10%
发文量
10882
期刊介绍: Applied Sciences (ISSN 2076-3417) provides an advanced forum on all aspects of applied natural sciences. It publishes reviews, research papers and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files and software regarding the full details of the calculation or experimental procedure, if unable to be published in a normal way, can be deposited as supplementary electronic material.
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