基于特征选择的机器学习对比分析预测乳腺癌

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Artificial Intelligence Pub Date : 2024-04-10 DOI:10.1080/08839514.2024.2340386

Chour Singh Rajpoot, Gajanand Sharma, Praveen Gupta, Pankaj Dadheech, Umar Yahya, Nagender Aneja

引用次数: 0

摘要

乳腺癌是一种严重的疾病，因此早期发现对成功治疗和患者管理至关重要。不幸的是，在全球范围内，乳腺癌病例的数量正在不断增加。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Feature Selection-based Machine Learning Comparative Analysis for Predicting Breast Cancer

Breast cancer is a serious disease, and therefore early detection is crucial for successful treatment and patient management. Unfortunately, globally, the number of breast cancer cases is increasin...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Applied Artificial Intelligence 工程技术-工程：电子与电气

CiteScore

5.20

自引率

3.60%

发文量

106

审稿时长

6 months

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.