| 内镜在结直肠神经内分泌肿瘤诊治中的研究进展 |
| 投稿时间：2022-09-20 修订日期：2022-10-13 点此下载全文 |
| 引用本文：席娜,丛春莉,青兰,梁妍.内镜在结直肠神经内分泌肿瘤诊治中的研究进展[J].医学研究杂志,2024,53(1):16-20 |
| DOI：
10.11969/j.issn.1673-548X.2024.01.005 |
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| 基金项目:内蒙古自治区自然科学基金资助项目(2021LHMS08053) |
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| 中文摘要:随着内镜和影像学检查技术的改进、全民健康意识提升以及肠癌筛查计划的实施, 结直肠神经内分泌肿瘤(neuroendocrine neoplasms,NENs)的发生率和早期检出率呈逐年上升趋势,内镜成为其检出和诊断的主要手段,超声内镜(endoscopic ultrasonography,EUS)作为该肿瘤局部分期首选方式,其准确性受到广泛认可。尽管国内外指南对结直肠NENs治疗最佳策略仍存在争议。但目前对于直径＜20mm、固有肌层未侵犯、无淋巴结及远处转移的病灶内镜治疗已成为主要趋势,且随着内镜及其辅助技术的发展与延伸,内镜治疗的适应证正在进一步扩大,然而最佳治疗方式尚无共识,根据术前评估选择合适的治疗方式非常关键,恰当的选择可达到病灶的完全切除以降低病灶残留和局部复发的发生率。本文对结直肠NENs内镜及EUS特征和内镜治疗进展进行阐述,以期提高对该疾病的认识。 |
| 中文关键词:结肠神经内分泌肿瘤 直肠神经内分泌肿瘤 内镜 超声内镜 |
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| Study and Practice on Intelligent Classification of Medical Safety Incidents Based on BERT Model |
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| Abstract:Purpose/Significance To improve the classification and evaluation mode of medical safety incidents, and to improve work efficiency and timeliness. Method/Process The data of previous medical safety incidents are pre-processed, BERT model is used for training, testing and iterative optimization, and an intelligent classification and prediction model for medical safety incidents is built. Result/Conclusion The model is used to classify 466 medical safety incidents reported by clinical departments from January to November 2022, and F1 value reaches 0.66. The application of BERT model in the classification and evaluation of medical safety incidents can improve work efficiency and timeliness, and help timely intervene in medical safety risks. |
| keywords:medical safety incidents BERT deep learning intelligent classification |
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