通过机器学习预测妊娠前:一个系统的文献综述
1Department of Management Information Systems, İzmir Bakırçay University, İzmir, Türkiye.
Health systems (Basingstoke, England)
|August 21, 2025
概括
机器学习模型可以使用年龄和血压等常见因素来预测妊娠前. 为了更好地早期发现这种妊娠并发症,需要更多多样化的数据.
科学领域:
- 产科和妇科
- 医疗信息学
- 计算生物学
背景情况:
- 孕前是一种严重的妊娠并发症,原因和危险因素尚不清楚.
- 预先预测妊娠前对于及时干预和改善母亲的结果至关重要.
- 机器学习 (ML) 提供了一个强大的工具,用于开发产前的预测模型.
研究的目的:
- 系统地审查和分析最近的机器学习研究,以预测妊娠前.
- 在基于ML的产前症研究中确定关键特征,算法和地理趋势.
- 突出限制和未来的方向,以加强在产前检测的ML模型.
主要方法:
- 在2013年1月1日至2023年12月31日期间发表的研究的系统文献审查.
- 在Google Scholar和PubMed上进行的搜索,发现了183项研究,其中35项是根据纳入标准进行选择的.
- 分析常见的预测特征,ML算法,研究地点和数据集特征.
主要成果:
- 通常使用的预测特征包括母亲的年龄,怀孕史,体重指数,糖尿病,高血压和血压.
- 较少使用的特征是药物,遗传数据和临床成像.
- 流行的ML算法包括随机森林,支持向量机,后勤回归,决策树和天真贝斯.
- 研究集中在中国和美国,最近出版物激增,但往往依赖于小型的单一中心数据集.
结论:
- 使用现有临床数据,机器学习显示出预孕前的巨大潜力.
- 目前的研究环境需要更多的数据集和多中心研究来提高模型的通用性.
- 进一步的研究是必不可少的,以完善ML模型,以便在早期检测并有效管理妊娠前.
更多相关视频
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
7.2K
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
8.3K
相关概念视频
01:10Pre-Procedural Guidelines for Assessing Blood Pressure
627
Accurate blood pressure assessment is crucial for diagnosing and managing various health conditions. To ensure the reliability of these measurements, healthcare professionals must adhere to standardized pre-procedural guidelines. These guidelines enhance patient safety and improve the overall quality of healthcare. The following steps are essential for obtaining accurate and consistent blood pressure readings, from using the appropriate tools to ensuring effective communication with the...
627
01:30Hypertension III: Clinical Manifestations and Diagnostic Studies
48
Hypertension is asymptomatic and also referred to as the "silent killer" until it progresses to a severe stage or causes target organ disease. Patients may experience symptoms stemming from the strain on blood vessels and tissues in various organs or the heart's increased workload.Physical exams might show no abnormalities other than high blood pressure. Signs of vascular damage, when present, correspond to the organs supplied by the affected vessels, leading to target organ damage. For...
48
01:52Regression Toward the Mean
6.5K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.5K
01:25Errors occurring during blood pressure monitoring
965
Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
Several factors...
965
01:23Hypertension V: Nursing Management
42
The nursing management of hypertension involves accurately assessing symptoms, making a comprehensive nursing diagnosis, collaborating with patients to set goals, and implementing targeted interventions to mitigate the condition's impact and improve patient well-being.Comprehensive AssessmentThe initial step in nursing care for hypertension involves a thorough patient assessment. It includes evaluating symptoms such as headaches, dizziness, blurred vision, and previous hypertension episodes.
42