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基于电子病历的常见不良出生结局可视化分析

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早产、巨大儿、低体重儿作为常见的不良出生结局,不仅影响围产期的致病率与死亡率,还影响新生儿的长期健康.目前早产、巨大儿、低体重儿的发病机制还尚未明确,医生在临床诊断中难以较早地发现高危人群,也难以分析出孕妇在孕期内的变化规律.随着电子病历的普及以及可视化技术的发展,为不良出生结局的风险预警评估提供了支撑.本文使用产科电子病历数据,设计出基于电子病历的常见不良出生结局可视化分析方法.文中通过特征分布旭日图和数值分布图发现高危人群,使用正常和异常特征值对应的人数变化图来展示孕妇在孕期内的变化规律.最后,通过构建 3 个案例研究以证明该可视化方法的有效性.
Visual Analysis of Common Adverse Birth Outcomes Based on Electronic Medical Records
Adverse birth outcomes,such as premature delivery,macrosomia and low birth weight infants,not only affect the morbidity and mortality in the perinatal period,but also influence the long-term health of newborns.At present,the pathogenesis of preterm birth,macrosomia and low birth weight infants is still not clear.It is difficult for doctors to find high-risk groups in the early phase of clinical diagnosis,and it is also difficult to analyze the variation characters during pregnancy.With the popularity of electronic medical records and the development of visualization technology,the early risk warning and assessment of adverse birth outcomes could be supported and improved.In this study,obstetric electronic medical record data were used to design a visual analysis method for common adverse birth outcomes based on electronic medical records.High-risk groups were found through characteristic distribution sunrise map and numerical distribution map.The variation of pregnant during pregnancy was shown with number change map corresponding to normal and abnormal characteristic values.Finally,three case studies were constructed to demonstrate the effectiveness of this visualization method.

adverse birth outcomeselectronic medical recordsvisual analysis

李海锐、吴英飞、袁贞明、孙晓燕、俞凯

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杭州师范大学信息科学与技术学院,浙江 杭州 311121

不良出生结局 电子病历 可视化分析

兵团重点领域科技攻关项目

2021AB034-2

2024

杭州师范大学学报(自然科学版)
杭州师范大学

杭州师范大学学报(自然科学版)

CSTPCD
影响因子:0.386
ISSN:1674-232X
年,卷(期):2024.23(1)
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