OxMat数据集：用于开发孕产妇及新生儿健康领域人工智能驱动技术的多模态资源
The OxMat dataset: a multimodal resource for the development of AI-driven technologies in maternal and newborn child health
AI总结：
本文介绍全球最大的经过整理的CTG数据集OxMat，其包含超17万条产前为主的CTG记录及200余项临床变量，填补了女性健康数据空白，为AI驱动的产前护理及母婴健康算法研发提供了可靠资源。
摘要：
人工智能（AI）在医疗保健领域的快速发展为产科护理的进步带来了独特机遇，尤其是通过分析胎心宫缩监护（CTG）进行胎儿监测的方向。但这类技术的有效性取决于是否存在适用于机器学习的大规模高质量数据集。本文介绍牛津产科（Oxford Maternity, OxMat）数据集——这是全球最大的经过整理的CTG数据集，包含原始时间序列CTG数据以及母婴双方的大量临床数据，非常适合用于机器学习研究。\nOxMat数据集填补了女性健康数据领域的关键空白，提供了来自51036次妊娠的超过177211条独立CTG记录，这些记录自1991年起经过了精心的整理与审核。该数据集还包含200余项产前、产时及产后临床变量，确保了死产、酸中毒等关键结局的相关数据近乎完整。尽管该数据集也覆盖产时阶段，但约94%的CTG记录来自产前阶段，这使得研究能够独特地聚焦于服务不足的产前时期——在此阶段早期发现高危胎儿可显著改善健康结局。\n我们对现有数据集的全面梳理揭示了当前数据集的局限性：主要在于数据量不足、缺乏详细临床数据以及产前数据匮乏。OxMat数据集为未来人工智能驱动的产前护理奠定了基础，为开发和测试旨在改善母婴健康结局的算法提供了可靠资源。
英文摘要：
The rapid advancement of Artificial Intelligence (AI) in healthcare presents a unique opportunity for advancements in obstetric care, particularly through the analysis of cardiotocography (CTG) for fetal monitoring. However, the effectiveness of such technologies depends upon the availability of large, high-quality datasets that are suitable for machine learning. This paper introduces the Oxford Maternity (OxMat) dataset, the world's largest curated dataset of CTGs, featuring raw time series CTG data and extensive clinical data for both mothers and babies, which is ideally placed for machine learning. The OxMat dataset addresses the critical gap in women's health data by providing over 177,211 unique CTG recordings from 51,036 pregnancies, carefully curated and reviewed since 1991. The dataset also comprises over 200 antepartum, intrapartum and postpartum clinical variables, ensuring near-complete data for crucial outcomes such as stillbirth and acidaemia. While this dataset also covers the intrapartum stage, around 94% of the constituent CTGS are antepartum. This allows for a unique focus on the underserved antepartum period, in which early detection of at-risk fetuses can significantly improve health outcomes. Our comprehensive review of existing datasets reveals the limitations of current datasets: primarily, their lack of sufficient volume, detailed clinical data and antepartum data. The OxMat dataset lays a foundation for future AI-driven prenatal care, offering a robust resource for developing and testing algorithms aimed at improving maternal and fetal health outcomes.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
