Optimized Feature Selection for PCOS Disease Prediction

IF 0.3 4区综合性期刊 Q4 MULTIDISCIPLINARY SCIENCES

Comptes Rendus De L Academie Bulgare Des Sciences Pub Date : 2023-10-01 DOI:10.7546/crabs.2023.09.14

Selvaraj Santhi, Sundaradhas Nidhyananthan

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引用次数: 0

Abstract

PCOS is the most predominant endocrine problem among women of reproductive age, which affects ovaries and causes irregularities in menstrual cycles, weight gain, and hirsutism [Bulsara J., P. Patel, A. Soni, S. Acharya (2021) A review: Brief insight into PCOS, Endocrine and Metabolic Sci., 3, 1–7]. The condition probably results from a mix of causes, including qualities and ecological elements. The aim of this study is to investigate the performance of Binarized Butterfly Optimization Algorithm, Binarized Grey Wolf Optimization Algorithm, Binarized Genetic Algorithm and Binarized Cuckoo Optimization Algorithm in terms of classification accuracy. Kaggle PCOS dataset is used for this work and it has 541 records and 43 attributes. The study aims to investigate the performance of four optimization algorithms in terms of classification accuracy for predicting PCOS disease. The BGWO optimization algorithm outperformed the other algorithms with 99% accuracy, while the BGA produced the most optimal subset. The study highlights the significance of feature selection in improving the performance of classification algorithms.

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PCOS疾病预测的优化特征选择

PCOS是育龄妇女中最主要的内分泌问题，它影响卵巢，导致月经周期不规则、体重增加和多毛[Bulsara J.， P. Patel, A. Soni, S. Acharya(2021)]。， 3,1 - 7]。这种情况可能是由多种原因造成的，包括质量和生态因素。本研究的目的是考察二值化蝴蝶优化算法、二值化灰狼优化算法、二值化遗传算法和二值化布谷鸟优化算法在分类精度方面的性能。这项工作使用了Kaggle PCOS数据集，它有541条记录和43个属性。本研究旨在探讨四种优化算法在预测多囊卵巢综合征疾病分类准确率方面的表现。BGWO优化算法以99%的准确率优于其他算法，而BGA产生了最优子集。该研究突出了特征选择对提高分类算法性能的重要性。

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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来源期刊

Comptes Rendus De L Academie Bulgare Des Sciences 综合性期刊-综合性期刊

CiteScore

0.60

自引率

33.30%

发文量

181

审稿时长

3-6 weeks

期刊介绍： Founded in 1948 by academician Georgy Nadjakov, "Comptes rendus de l’Académie bulgare des Sciences" is also known as "Доклади на БАН","Доклады Болгарской академии наук" and "Proceeding of the Bulgarian Academy of Sciences". If applicable, the name of the journal should be abbreviated as follows: C. R. Acad. Bulg. Sci. (according to ISO)