肿瘤专科医院门诊人次预测方法的探讨_医学杂志_健康那些事儿K210.COM 关键词】 预测模型 门诊人次 医院管理 [gap=1160]Key words: predictive models; outpatient amount; hospital management
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Objective:To compare the predicting effect of the number of inpatient and outpatient Amount in tumor hospital by dynamic series,linear regression,Logarithmic regression,Quadratic regression,Cubic regression,ARIMA models and provide a fitted model for hospital managers.
目的:比较动态数列法、直线回归模型、对数模型、二次曲线模型、三次曲线模型、ARIMA预测模型在某专科医院门诊人次、出院人数预测拟合效果的优劣,为医院行政部门提供合适的预测模型。
参考来源 - 某专科医院门诊人次、出院人数预测方法的探讨·2,447,543篇论文数据，部分数据来源于NoteExpress
The hospital outpatient amount is a seasonal time series with the character of complex nonlinear combination.
医院月门诊量是一个具有复杂的非线性组合特征的季节性时间序列。
The hospital outpatient amount is a seasonal time series with the character of complex non-linear combination.
医院门诊量是一个具有复杂的非线性组合特征的季节性时间序列。
The hospital outpatient amount is a seasonal time series with the character of complexive nonlinear combination.
医院月门诊量是一个具有复杂的非线性组合特征的季节性时间序列。
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