关于在阿尔茨海默病检测和预测中使用现代计算方法的审查
Arka De1, Tusar Kanti Mishra2, Sameeksha Saraf1
1School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Current Alzheimer research
|March 12, 2024
概括
本综述探讨了用于早期阿尔茨海默病诊断的计算方法的进展. 它将贡献分为三代,重点关注最近的突破,以改善患者的治疗结果.
科学领域:
- 医学科学 医学科学 医学科学
- 计算神经科学是一种神经科学.
- 神经系统疾病 神经系统疾病
背景情况:
- 多学科研究和现代计算资源对于医学科学的进步至关重要.
- 阿尔茨海默病是一种不可治愈的神经系统疾病,它构成了需要早期诊断的重大挑战.
- 现有的文献评论往往侧重于阿尔茨海默氏症诊断的历史计算贡献.
研究的目的:
- 系统地审查和分类近几十年来对阿尔茨海默病诊断的计算贡献.
- 突出最新的计算方法的发现,专门用于阿尔茨海默病的诊断.
- 提供关键贡献的详细时间表和绩效分析.
主要方法:
- 在阿尔茨海默病诊断中计算贡献的系统文献综述.
- 将贡献分为第一,第二和第三代,重点是最近的进展.
- 分析和介绍关键贡献,包括选择方法的性能图.
主要成果:
- 识别和讨论用于阿尔茨海默病诊断的关键计算方法和方案.
- 一个全面的时间表,说明这些贡献的演变.
- 对显著贡献的绩效指标的图形表示.
结论:
- 最近计算方法的进步为早期诊断阿尔茨海默病提供了有前途的工具.
- 该审查为计算方法的进展和有效性提供了宝贵的见解.
- 在这个领域的进一步发展可以通过及时干预显著改善患者的生活.
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