Mathematical modeling of recovery curves

R Sivaraman
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Abstract

As the population of people in the globe continues to age, there will be a growing demand for health issues including treatment of Total Hip Arthroplasty (THA) and Total Knee Arthroplasty (TKA). This will result in a growth in post-operation rehabilitation services. In order to meet this growth, it will be beneficial for occupational therapists and physical therapists to have an understanding of a patient’s expected post-surgery recovery rate. Once developed these rates can be used to benchmark individual patient improvement, help estimate expected costs and lengths of therapy, and possibly help design optimal treatment session scheduling. In this paper, we consider Hierarchical Linear Model to analyze how male and female patients respond to TKA and similar surgeries.
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采收率曲线的数学建模
随着全球人口持续老龄化,对包括全髋关节置换术(THA)和全膝关节置换术(TKA)治疗在内的健康问题的需求将不断增长。这将导致术后康复服务的增长。为了满足这种增长,对于职业治疗师和物理治疗师来说,了解患者的预期术后恢复率将是有益的。一旦制定了这些比率,就可以用来衡量个体患者的改善情况,帮助估计预期的成本和治疗时间,并可能帮助设计最佳的治疗时间安排。在本文中,我们采用层次线性模型来分析男性和女性患者对TKA和类似手术的反应。
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