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基于使用智能听觉和机器学习的肠道声音,预测胃癌患者的长期术后阴茎
Shuai Shi1, Cong Lu2, Liang Shan1
1Second Department General Surgery, Shaanxi Provincial People's Hospital, Xi'an 710068, Shaanxi Province, China.
胃癌患者的长期术后阴道 (PPOI) 与年龄,疾病阶段,低蛋白质和特定的肠道声音模式有关. 智能听力系统有助于预测PPOI,以便进行早期干预.
科学领域:
- 胃肠病学 胃肠病学
- 手术瘤学手术瘤学
- 医疗信息学 医疗信息学
背景情况:
- 长期的术后阴道 (PPOI) 会使胃癌 (GC) 的恢复复杂化,增加住院时间和费用.
- 缺乏非侵入性方法来监测GC手术后的胃肠功能.
- 早期检测PPOI对于及时干预和改善患者结果至关重要.
研究的目的:
- 确定GC手术后肠功能恢复延迟的危险因素.
- 评估来自智能听力系统的肠道声音指标,以预测PPOI.
- 开发一个模型来指导临床实践在管理PPOI.
主要方法:
- 对120名经过手术和肠道声音监测的GC患者的回顾性分析.
- 患者分为培训和验证队列.
- 单变量和多变量分析以确定PPOI的重大风险因素.
主要成果:
- 在PPOI的发病率为27.5%.
- PPOI的独立风险因素包括年龄≥70岁,晚期cTNM阶段,手术前的低蛋白质血,以及特定的肠声指标 (RTBS,NBS,FBS).
- 贝叶斯模型显示出良好的预测性能 (AUC 0.747-0.880) 与显著的临床效用.
结论:
- 在GC胃切除术后,PPOI很常见,与患者的因素和肠道声音特征有关.
- 常规的肠道声音监测和手术前营养的优化可以帮助PPOI管理.
- 提出了一个可访问的机器学习模型,用于在GC患者中预测PPOI.
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