l-曲线matlab代码-DiabeticsReadmissionPrediction:2014NITKCMU冬季学校的研究项目：糖尿病再入院
l-曲线矩阵代码糖尿病再入院预测
2014年NITK
CMU冬季学校的研究项目：糖尿病再入院率分析，用于有效的医院资源管理和提高初诊效率。
医院再入院率分析
A.引言
1.重要性和问题！
在印度和许多其他国家/地区，我们可以观察到排队等候医生的病人以及在急诊病房死亡的许多病人，而在适当的时间没有医生在场。
此外，由于缺乏医疗设备，护士，化验室和救护车，许多患者失去了生命。
这要求有效的医院资源管理。
如果在初期就诊断出许多疾病，例如癌症，心脏病等，就可以治愈。
在大多数情况下，患者会因某些疾病而入院，医生可能会在初次诊断时错过实际的并发症，由于此原因患者后来会出现严重的并发症，并可能导致其死亡。
因此，需要提高初始诊断的效率。
另一方面，处理同一患者的再入院将在一定时间内消耗给定人群的资源，从而增加了整体医疗费用。
因此，降低与重新录取相关的成本对任何国家来说都是非常重要的。
2.我们在做什么？
问题！
敏锐地观察上述问题，我们可以确定它们与医院的再住院密切相关。
因此，通过预测患者是否会在一个月内再次入院，我们可以估算出再入院率，这有助于根据特定时间和地点所需的医生，医疗设备等的类型
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