一项关于人工智能在管理长期COVID中的作用的调查
Ijaz Ahmad1, Alessia Amelio2, Arcangelo Merla2
1Department of Human, Legal and Economic Sciences, Telematic University "Leonardo da Vinci", Chieti, Italy.
Frontiers in artificial intelligence
|January 26, 2024
概括
人工智能 (AI) 正在用于分析长期COVID患者的数据,帮助诊断和治疗. 这项研究探讨了人工智能.
科学领域:
- 医疗信息学医学信息学
- 医疗保健中的人工智能
- 计算生物学是一种计算生物学.
背景情况:
- 长期COVID是一种SARS-CoV-2感染后的持续性疾病,呈现出多样化和持久的症状.
- 医疗保健系统面临着管理长期COVID患者的重大压力.
- 人工智能 (AI) 为分析复杂的患者数据提供了潜在的解决方案.
研究的目的:
- 探索机器学习 (ML) 方法论对长期COVID数据分析的影响.
- 审查从长期COVID文献中提取见解的文本挖掘技术.
- 批判性地比较长期COVID诊断和治疗的AI方法.
主要方法:
- 在长期COVID研究中审查机器学习应用程序.
- 分析文本挖掘技术用于趋势识别.
- 对各种人工智能方法的比较评估.
主要成果:
- 人工智能技术越来越多地应用于了解长期COVID的临床表现和诊断.
- 文本挖掘有助于从大量的文本数据中提取有价值的趋势.
- 各种人工智能方法看起来很有前途,但需要进一步开发.
结论:
- 人工智能,特别是ML和文本挖掘,对于推进长期COVID研究至关重要.
- 为了有效的诊断和治疗,需要进一步开发强大的AI策略.
- 人工智能可以帮助减轻长期COVID护理医疗机构的负担.
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