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首页> 外文会议>2019 10th International Conference on Dependable Systems, Services and Technologies >Application of Unsupervised Learning in Weight-Loss Categorisation for Weight Management Programs
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Application of Unsupervised Learning in Weight-Loss Categorisation for Weight Management Programs

机译：无监督学习在体重管理程序的体重减轻分类中的应用

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There has been an increase in the need to have a weight management system that prevents adverse health conditions which can in the future lead to various cardiovascular diseases. Several types of research were made in attempting to understand and better manage body-weight gain and obesity.This study focuses on a data-driven approach to identify patterns in profiles with body-weight change in a dietary intervention program using machine learning algorithms. The proposed line of investigation would analyse these patient's profile at the entry of dietary intervention program and for some, on a weekly basis. These attributes would serve as inputs into machine learning algorithms.From the unsupervised learning perspective, the paper seeks to address the first stage in applying machine learning algorithms to weight management data. The specific aim here is to identify the thresholds for weight loss categories which are required for supervised learning.
机译：越来越需要一种体重管理系统来防止不利的健康状况，这种状况将来可能导致各种心血管疾病。为了试图理解和更好地控制体重增加和肥胖症，人们进行了几种类型的研究。拟议的调查范围将在饮食干预计划开始时（每周进行一次）分析这些患者的概况。这些属性将作为机器学习算法的输入。从无监督学习的角度来看，本文试图解决将机器学习算法应用于体重管理数据的第一阶段。此处的特定目的是确定监督学习所需的减肥类别的阈值。

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