对基于机器学习的算法进行验证,以在现实世界的数据集上预测与孕前相关的不良结果
Ameli Hoyler1, Oliver Rieger1, Max Hackelöer1
1Department of Obstetrics, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Archives of gynecology and obstetrics
|February 6, 2026
概括
机器学习模型使用更少的血管原生生物标志物准确预测妊娠前的结果. 这种精细的方法有助于临床决策,可能减少孕产妇和新生儿并发症.
科学领域:
- 产科和妇科 产科和妇科
- 医疗信息学 医疗信息学
- 生物标志物研究 生物标志物研究
背景情况:
- 孕前是一种严重的产科并发症.
- 使用血管原生生物标志物的机器学习 (ML) 模型显示了预测子前期结果的潜力.
- 临床实用性需要对这些ML模型进行改进,特别是特征减少.
研究的目的:
- 减少ML模型的特征集,以预测与孕前相关的结果,以临床上有意义的数量.
- 开发和验证使用减少特征的ML模型来预测妊娠前的预测终点.
主要方法:
- 使用训练队列 (1,634名患者,2,412次访问) 开发了一种功能减少的ML模型.
- 该模型在一个独立的队列 (402名患者,540次访问) 上得到了验证.
- 三种模型预测了整体不良结果,分娩在34周之前的14天内,分娩在34周后的7天内,使用13个特征对比114.
主要成果:
- 减少功能模型的准确性与原始模型相比较.
- 对于任何不良结果的模型:AUROC为0.92 (培训) 和0.89 (验证).
- 交付时间的模型在两个队列中也表现出强大的预测性能.
结论:
- 一个具有减少特征集的机器学习模型准确地预测了临床相关的孕前结果.
- 识别的预测终点可以支持临床决策.
- 这种方法可能有助于减少孕产妇和新生儿的发病率和死亡率.
更多相关视频
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
8.8K
07:15Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
Published on: August 16, 2020
7.5K
相关概念视频
Predicting Reaction Outcomes
10.9K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
10.9K
Reliability and Validity
14.1K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
14.1K
Mechanical Efficiency of Real Machines
1.3K
The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
However, in reality, no machine can be truly ideal, and all of them experience some...
1.3K
Predicting Molecular Geometry
46.0K
VSEPR Theory for Determination of Electron Pair Geometries
46.0K
Machines
581
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
A free-body diagram of the...
581
Trial and Error and Algorithm
425
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
425
