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Artificial Neural Networks in the Outcome Prediction of Adjustable Gastric Banding in Obese Women

机译:人工神经网络在肥胖女性可调节胃束带结果预测中的应用

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摘要

BackgroundObesity is unanimously regarded as a global epidemic and a major contributing factor to the development of many common illnesses. Laparoscopic Adjustable Gastric Banding (LAGB) is one of the most popular surgical approaches worldwide. Yet, substantial variability in the results and significant rate of failure can be expected, and it is still debated which categories of patients are better suited to this type of bariatric procedure. The aim of this study was to build a statistical model based on both psychological and physical data to predict weight loss in obese patients treated by LAGB, and to provide a valuable instrument for the selection of patients that may benefit from this procedure.
机译:背景肥胖症被一致认为是一种全球流行病,并且是导致许多常见疾病发展的主要因素。腹腔镜可调胃绑带(LAGB)是全球最受欢迎的手术方法之一。但是,可以预期结果会有很大的差异,而且失败的几率也很高,并且仍在争论哪种类型的患者更适合这种减肥手术。这项研究的目的是建立基于心理和身体数据的统计模型,以预测接受LAGB治疗的肥胖患者的体重减轻,并为选择可能受益于该手术的患者提供有价值的工具。

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