基于规则的专家系统用于诊断怀孕期间母亲的并发症:对于资源较少的环境
Birhan Meskelu Gebremariam1, Genet Tadese Aboye1, Abebaw Aynewa Dessalegn2
1School of Biomedical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia.
Digital health
|February 5, 2024
概括
一个新的专家系统准确地诊断出三种常见的孕产妇并发症,包括先兆子,孕期糖尿病 (GDM) 和孕产妇败血症. 该工具通过提高诊断能力,在资源有限的环境中增强孕产妇医疗保健.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 孕产妇健康 孕产妇健康
背景情况:
- 孕产妇的并发症在怀孕期间带来了重大的健康挑战.
- 诊断常见的妊娠并发症是困难的,特别是在资源有限的环境中,因为医疗保健专业人员和诊断工具的获取有限.
- 孕前,妊娠期糖尿病 (GDM) 和孕产妇败血症是普遍存在的,并且难以诊断.
研究的目的:
- 开发一个基于规则的专家系统,用于诊断产前,GDM和孕产妇败血症.
- 为了应对低资源环境中的诊断挑战.
- 创建一个可访问和用户友好的诊断工具.
主要方法:
- 从当地卫生机构和文献审查中确定了每个疾病的风险因素.
- 使用Mamdani风格的模糊推理系统制定了诊断属性和规则.
- 开发了一个基于Web的用户界面,用于无的交互和数据输入.
主要成果:
- 专家系统在诊断子宫前,GDM和孕产妇败血症方面实现了94%的准确率.
- 该系统部署在一个定制的基于Web的界面上,以提高可用性.
- 该系统有效地利用已识别的风险因素进行诊断.
结论:
- 开发的专家系统显示了在产前访问期间改善孕产妇医疗保健服务的巨大潜力.
- 这种工具可以提高孕妇的健康结果,特别是在资源较低的环境中.
- 该系统在资源有限的环境中为孕产妇医疗保健提供了宝贵的进步.
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