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预测代谢-腹部手术后的第一年怀孕:机器学习模型的开发和验证

Raheleh Moradi¹, Maryam Kashanian², Fahime Yarigholi³

¹Minimally Invasive Surgery Research Center, Iran University of Medical Sciences, Tehran, Iran. raheleh.moradi1987@gmail.com.

Surgical endoscopy

|March 11, 2025

概括

机器学习模型可以在代谢 - 腹部手术 (MBS) 后12个月内预测怀孕. 这有助于管理受MBS治疗的生殖年龄妇女的生殖健康.

科学领域:

生殖健康生殖健康
腹部外科手术的结果
机器学习在医学中的应用

背景情况:

代谢 - 减肥手术 (MBS) 是一个关键的减肥干预,许多患者是生殖年龄的女性.
在怀孕之前,建议在MBS后进行12个月的间隔,以优化结果.
预测MBS后的早期怀孕对于生殖健康服务评估至关重要.

研究的目的:

开发和验证机器学习 (ML) 模型,用于在MBS后的第一年内预测怀孕.
确定影响MBS后怀孕时间的关键因素.

主要方法:

一项嵌套病例控制研究,涉及473名MBS后怀孕的妇女 (2009-2023年).
应用各种ML算法,包括分类,决策树 (C5.0) 和回归分析.
在MBS的12个月内确定怀孕的诱导因素.

主要成果:

C5.0决策树模型实现了0.920 ± 0.014的AUC,证明了高预测准确度.
该模型确定了13个早期怀孕的显著预测因素,包括月经不规则,婚姻状况,BMI,PCOS和T2DM.
灵敏度和特异性分别为0.762 ± 0.044和0.916 ± 0.028. 这两种特异性分别为0.762 ± 0.044和0.916 ± 0.028.

结论:

ML模型可以有效地预测MBS后12个月内怀孕.
这些预测工具可以帮助减肥外科医生和产科医生管理患者护理.
改进的预测有助于预防低于最佳的外科反应和不良妊娠结果.

关键词:

人工智能的人工智能是人工智能.腹腔外科手术是什么意思数据科学是数据科学.机器学习机器学习产科产科产科产科产科怀孕怀孕怀孕怀孕

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