在移动健康应用中实现准确的医疗数据

2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) Pub Date : 2016-06-01 DOI:10.1109/WETICE.2016.24

Lamia Ben Amor, Imene Lahyani

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引用次数: 1

摘要

在本文中，我们提出了一个统计预测模型来评估医疗数据的准确性。为此，本文的目的是使用自动回归(AR)模型进行医疗数据预测。基于均方根误差、平均绝对误差和Theil不等式系数三个性能指标，实验结果证明了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Towards Accurate Medical Data in Mobile Health Applications

In this paper, we propose to employ a statistical prediction model to assess medical data accuracy. To this end, the purpose of this paper is to perform medical data prediction using the Auto Regressive (AR) model. The experimental results which prove the efficiency of the proposed approach are reported based on three performance criteria namely Root Mean Square Error, Mean Absolute Error and the Theil Inequality Coefficient.

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来源期刊

2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)

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