寻求临床意义:从开发和评估机器学习模型的洞察力来预测急诊室回访入院情况
Yiye Zhang1,2, Yufang Huang1, Anthony Rosen2
1Department of Population Health Sciences, Weill Cornell Medicine, New York, New York, United States of America.
PLOS digital health
|September 27, 2024
概括
一个新的机器学习模型准确地预测了急诊部 (ED) 退院后的72小时回访入院 (RVA). 该工具有助于识别高风险患者,以改善医疗保健质量和结果.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的机器学习
- 紧急医疗 紧急医疗
背景情况:
- 在急诊室 (ED) 退院后,返回访问入院 (RVA) 与质量问题和患者负面结果有关.
- 预测RVA对于主动干预和增强患者护理途径至关重要.
- 电子健康记录 (EHR) 为开发预测模型提供了丰富的数据来源.
研究的目的:
- 开发和验证一个机器学习模型,用于使用EHR数据预测72小时的RVA.
- 将各种机器学习算法的性能与现有的临床风险得分进行比较.
- 通过手动图表审查来评估预测模型的临床可行性.
主要方法:
- 从2019年的三个城市ED中提取了EHR数据,包括开发 (62,154名患者) 和验证 (73,453名患者) 数据集.
- 评估了多种机器学习算法,包括深度意义聚类 (DICE) 和规范后勤回归 (LR),XGBoost和梯度提升决策树.
- 临床医生调查人员进行手动图表审查,根据诊断和根本原因对预测的RVA病例进行分类.
主要成果:
- 最好的模型,结合DICE和LR,实现了0.87 (开发) 和0.75 (独立验证) 的AUC.
- 该模型在各种人口统计因素中显示出强度,但在诊断组中显示出变化.
- 临床检查为RVA的特定临床亚型中的模型性能提供了洞察力.
结论:
- 开发的机器学习模型显示了72小时RVA的强大预测性能.
- 虽然模型的复杂性和结果的稀有性对临床可行性构成挑战,但该模型为进一步改进提供了基础.
- 在临床检查的指导下,进一步包含变量可以提高预测准确性和实际应用.
相关概念视频
Steps in Outbreak Investigation
108
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
108
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
45
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
45
Methods of Documentation VI: Case Management Model
559
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
For example, a patient with a chronic...
559
Receiver Operating Characteristic Plot
94
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
94


