R软件中用于ESD疾病诊断的机器学习算法综述

Women In Research Pub Date : 2016-03-21 DOI:10.1145/2909067.2909101

S. Kolkur, D. Kalbande

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引用次数: 2

摘要

ESD是红斑鳞状疾病(Erythemato-Squamous Diseases)的首字母缩写，是六种皮肤病的集合[6]。红斑鳞状疾病(ESDs)需要大量的计算工作来预测疾病，因为该组研究的所有六种疾病都具有90%以上的共同特征。本文的主要重点是研究在R软件中使用机器学习算法来预测ESD疾病。本文研究并在r中实现了不同的算法，比较了这些算法的精度。

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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Review of Machine Learning Algorithms in R software for Diagnosis of ESD Diseases

ESD is an acronym for Erythemato-Squamous Diseases, which is a set of six skin diseases [6]. The Erythemato-Squamous Diseases (ESDs) require huge computational efforts to predict the diseases because all the six diseases studied in this group have more than 90% common features. The main focus of this paper is to study the use of machine learning algorithms in R software for prediction of ESD Diseases. In this paper, different algorithms are studied and implemented in R. Accuracy of these algorithms is compared.

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Women In Research

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