可解释的机器学习模型用于预测结肠直肠癌手术后的再养综合征
Xing Jin1, Chanjie Cui2, Fangling Xu1
1Department of Gastrointestinal Surgery, Huai'an First People's Hospital, Huai'an, Jiangsu 223300, China.
Clinical nutrition ESPEN
|January 26, 2026
概括
一种可解释的机器学习模型准确地预测了结直肠癌手术患者的再养综合征 (RFS) 风险. 这个工具有助于个性化营养支持和早期干预RFS.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 营养科学 营养科学
背景情况:
- 再养综合征 (RFS) 是结直肠癌 (CRC) 患者术后营养支持的一个关键并发症.
- 早期准确预测RFS对于有效的患者管理至关重要.
研究的目的:
- 开发一种可解释的机器学习 (ML) 模型,用于早期预测CRC手术患者的RFS风险.
- 评估开发的ML模型的预测性能和临床实用性.
主要方法:
- 对446名CRC手术患者的回顾性分析.
- 开发和比较四个ML模型:物流回归,随机森林,SVM和XGBoost.
- XGBoost模型解释使用SHapley添加式解释 (SHAP) 进行特征重要性和个体预测.
主要成果:
- 在验证集中,XGBoost模型实现了最高的预测性能 (AUC = 0.872).
- 确定了关键预测因素:手术前血清酸盐,肠道声音恢复的时间,手术前白蛋白和第一次浮的时间.
- SHAP分析为RFS风险因素提供了全球和个人层面的见解.
结论:
- 可解释的XGBoost-SHAP模型提供了术后RFS风险的准确和可解释的预测.
- 这种方法可以为CRC手术患者指导个性化的营养管理策略.
相关概念视频
Simplified Synchronous Machine Model
769
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
In this model, each generator is connected to a...
769
Wind Turbine Machine Models
593
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
593
Predicting Molecular Geometry
45.7K
VSEPR Theory for Determination of Electron Pair Geometries
45.7K
Interpreting R Charts
348
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
348
Machines
573
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...
573
Interpreting Run Charts
3.2K
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
3.2K


