Overlap-Based Undersampling Method for Classification of Imbalanced Medical Datasets

机译：基于重叠的欠采样分类医学数据集的方法

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摘要

The proposed framework for classification of imbalanced medical datasets

机译：提议的不平衡医学数据集分类框架

著录项

期刊名称 Nature Public Health Emergency Collection
作者
Pattaramon Vuttipittayamongkol; Eyad Elyan;
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作者单位

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年(卷),期 -1(584),-1
年度 -1
页码 -1
总页数 12
原文格式 PDF
正文语种
中图分类精神病学;
关键词
Imbalanced data; Medical diagnosis; Medical prediction; Class overlap; Classification; Undersampling; Nearest neighbour; Machine learning;

机译：数据不平衡;医学诊断;医学预测;分类重叠;分类;欠采样;最近邻;机器学习;

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专利

1. Discussion on Vuttipittayamongkol, P. and Elyan, E., Improved Overlap-Based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson's Disease [J] . Fernandez Alberto International Journal of Neural Systems . 2020,第9期

机译：探讨Vuttitipittamongkol，P.和Elyan，E。，改进了基于重叠的缺乏采样，用于癫痫和帕金森病的应用程序分类
2. Response to Discussion on "Improved Overlap-Based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson's Disease," [J] . Vuttipittayamongkol Pattaramon, Elyan Eyad International Journal of Neural Systems . 2020,第9期

机译：讨论“利用癫痫和帕金森疾病的申请改善基于重叠的缺口采样的讨论”的讨论，“
3. Improved Overlap-based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson's Disease [J] . Vuttipittayamongkol Pattaramon, Elyan Eyad International Journal of Neural Systems . 2020,第8期

机译：改进基于重叠的缺乏采样，用于对癫痫和帕金森疾病的应用程序进行不平衡数据集分类
4. Overlap-Based Undersampling Method for Classification of Imbalanced Medical Datasets [C] . Pattaramon Vuttipittayamongkol, Eyad Elyan IFIP WG 12.5 International workshops on artificial intelligence applications and innovations;Mining Humanistic Data Workshop;Workshop on 5G-Putting Intelligence to the Network Edge . 2020

机译：基于重叠的欠采样分类医学数据集的方法
5. Classifier design to improve pattern classification and knowledge discovery for imbalanced datasets. [D] . Wang, Kun. 2009

机译：分类器设计可改进模式分类和不平衡数据集的知识发现。
6. The Use of Hellinger Distance Undersampling Model to Improve the Classification of Disease Class in Imbalanced Medical Datasets [O] . Zina Z. R. Al-Shamaa, Sefer Kurnaz, Adil Deniz Duru, 2020

机译：Hellinger距离荧光模型的使用改善了不平衡医疗数据集的疾病类分类
7. Overlap-Based Undersampling Method for Classification of Imbalanced Medical Datasets [O] . Pattaramon Vuttipittayamongkol, Eyad Elyan 2020

机译：基于重叠的非衡度医疗数据集分类的欠采样方法

Overlap-Based Undersampling Method for Classification of Imbalanced Medical Datasets

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