在直肠测量上进行异能排便的最佳单个或组合参数:一项概念验证机器学习研究
John A Damianos1, Saam Dilmaghani, Ayah Matar
1Clinical Enteric Neuroscience Translational and Epidemiological Research (C.E.N.T.E.R.), Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.
The American journal of gastroenterology
|January 27, 2026
概括
通过使用机器学习模型来分析直肠计量 (ARM) 和气球驱逐测试 (BET) 数据,可以改进诊断异能排便 (DD). 异常的BET或组合测量参数为DD诊断提供了高预测价值.
科学领域:
- 胃肠病学 胃肠病学
- 医学诊断 医学诊断 医学诊断
- 机器学习 机器学习
背景情况:
- 异能排便 (DD) 是慢性便秘的常见原因之一.
- 准确诊断DD对于有效治疗至关重要.
- 当前的诊断方法可能有局限性.
研究的目的:
- 评估个人和联合门测量 (ARM) 和气球驱逐测试 (BET) 参数的诊断性表现,以确定不协同性排便 (DD).
- 使用机器学习 (ML) 来优化DD诊断.
- 建立一个ML驱动的诊断方法的概念验证.
主要方法:
- 使用307名患者的ARM和BET数据开发了一种机器学习模型.
- 进行了数据预处理和归算.
- 训练了五种常见的ML模型并使用ROC AUC和精度进行了比较,最好的模型进行了微调和测试.
主要成果:
- 与对照组相比,DD患者的直腔压力梯度 (RAG) 显著降低,BET异常更大.
- 对DD的关键预测因素包括异常的BET,更大的静止门压力 (RAP) 和更负的RAG.
- 一个优化后勤回归模型的AUC达到0.878,单独BET或RAP和RAG组合的异常BET产生了>80%的积极预测值.
结论:
- 异常气球排泄测试 (BET) 是异常排泄 (DD) 的重要预测指标.
- 结合静止门压力 (RAP) 和直门压力梯度 (RAG) 计量参数,为DD诊断提供了高积极的预测值.
- 机器学习模型在改善慢性便秘患者的DD诊断方面表现有前途.
相关概念视频
Social Proof
32.3K
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
32.3K
Feces Formation and Defecation
3.8K
After spending 3 to 10 hours in the large intestine, chyme loses a lot of water and becomes feces, the final product of digestion. Feces consist of undigested dietary fiber such as cellulose, mucus, sloughed-off epithelial cells, and microbes. The descending and sigmoid colon stores feces and uses haustral contractions to dry it out but retains enough water to give it a semi-solid texture.
The mass peristalsis then pushes the feces into the rectum, which stretches the rectal walls to activate...
The mass peristalsis then pushes the feces into the rectum, which stretches the rectal walls to activate...
3.8K
Self-Concept
1.6K
Self-concept is the cognitive and emotional understanding individuals hold about their identity. It evolves through various developmental stages, beginning in infancy and maturing as children grow. This concept influences how individuals perceive their abilities, interact with others, and manage challenges throughout life.
Infancy and Emerging Recognition
During infancy, self-concept is virtually nonexistent. Babies do not distinguish themselves as separate entities and often mistake their...
Infancy and Emerging Recognition
During infancy, self-concept is virtually nonexistent. Babies do not distinguish themselves as separate entities and often mistake their...
1.6K
Formula Mass and Mole Concepts of Compounds
81.1K
Formula Mass of Covalent Compounds
81.1K
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
Machines: Problem Solving II
661
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
661


