Flexible Ureteroscopy Lithotripsy Operative Time Prediction Model for the Treatment of Kidney Stones

C. Baidada, Mustapha Aatila, M. Lachgar, Hamid Hrimech, Younes Ommane, Abderrahim Houlali
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Abstract

Effective time and resource management is crucial not only in the operating room but also in healthcare supply chains. Healthcare supply chains involve the movement of medical supplies, equipment, and medications from manufacturers to healthcare providers. Effective management is crucial to ensuring that patients receive the care they need promptly. In the operating room, it is essential to have an information process in place to effectively manage time and resources during the current surgical procedure. This paper focuses on developing a predictive model for the operating time of flexible ureteroscopy for kidney stones. The model can forecast surgical and preoperative time based on patient characteristics and surgeon experience. The model can assist in planning ureteroscopy procedures and preventing surgical complications, which is crucial not only for the operating room but also for healthcare supply chains. The paper presents a study that compares different feature selection methods and regression techniques. The study found that sequential backward selection combined with the extra tree regressor was the most effective approach.
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治疗肾结石的柔性输尿管镜碎石手术时间预测模型
有效的时间和资源管理不仅对手术室至关重要,对医疗供应链也同样重要。医疗保健供应链涉及医疗用品、设备和药品从制造商到医疗保健提供商的流动。有效的管理对于确保病人及时得到所需的治疗至关重要。在手术室中,必须建立一个信息流程,以有效管理当前手术过程中的时间和资源。本文主要针对肾结石柔性输尿管镜检查的手术时间建立一个预测模型。该模型可根据患者特征和外科医生经验预测手术和术前时间。该模型可协助规划输尿管镜检查手术和预防手术并发症,这不仅对手术室至关重要,对医疗保健供应链也至关重要。论文介绍了一项比较不同特征选择方法和回归技术的研究。研究发现,结合额外树回归器的顺序后向选择是最有效的方法。
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