使用整体分类来诊断麻疹
Asmaa H Rabie1, Ahmed I Saleh1
1Computer Engineering and Systems Dept., Faculty of Engineering, Mansoura University, Mansoura, Egypt.
Artificial intelligence in medicine
|September 6, 2023
概括
一种新的准确诊断策略 (AMDS) 使用特征选择和组合分类来准确诊断病毒性疾病. 与现有策略相比,这种方法显著提高了天花检测准确度.
科学领域:
- 医学诊断 医学诊断 医学诊断
- 计算生物学 计算生物学
- 流行病学 流行病学
背景情况:
- 全球卫生系统受到COVID-19等病毒爆发的压力.
- 新出现的疾病,如麻疹,如果不及时诊断,就会构成流行病风险.
- 准确高效的诊断工具对于管理传染病爆发至关重要.
研究的目的:
- 为了引入一种新的,准确的诊断麻疹的策略.
- 加强早期检测和管理潜在的疫疫情.
- 为新出现的病毒威胁提供强大的诊断框架.
主要方法:
- 准确的水诊断策略 (AMDS) 采用两阶段的方法:预处理和分类.
- 功能选择是使用二进制Tiki-Taka算法 (BTTA) 进行的.
- 整体分类结合了分层的K-最近邻居 (LKNN),统计天真贝叶斯 (SNB) 和深度学习分类器 (DLC) 与化的投票方案 (FVS).
主要成果:
- 拟议的AMDS在麻疹诊断方面表现出卓越的性能.
- 实验结果证实了AMDS在两个不同的数据集中的高准确性.
- 在识别水病例方面,AMDS的表现优于现有的诊断策略.
结论:
- 准确的水诊断策略 (AMDS) 提供了一种非常准确的水诊断方法.
- 这一战略为打击病毒性疾病的传播提供了有价值的工具.
- 在传染病的计算诊断方面,AMDS代表了显著的进步.
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