Monthly Precipitation Trend Analysis by Applying Nonparametric Mann- Kendall (MK) and Spearman’s rho (SR) Tests In Dongting Lake, China: 1961-2012

Tayyab, Muhammad; Zhou, Jianzhong; Adnan, Rana Muhammad; Zahra, Aqeela

doi:10.11591/ijeecs.v5.i1.pp41-47

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…However, the admission of patients into a hospital is not necessarily due to illness, it can be due to giving birth and other reasons. Hence, more research that consider other factors and other relevant methods [12] that affect the admission into a hospital should be done.…”

Section: Resultsmentioning

confidence: 99%

Alternative Methods for Forecasting Variations in Hospital Bed Admission

Shariff¹,

Suhaimi²,

Zahari³

et al. 2018

IJEECS

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The Malaysian healthcare system is well-being recognized for providing a wide range of access to primary healthcare. The number of hospitals is found to be growing in line with the increase in population. However, over-crowding has become the most common scene that people see in every hospital. The number of patients being admitted may somehow mislead healthcare planners, and thus causing them to underestimate the resources that are required within the hospital. Thus, this study aims to identify better forecasting models for variations in hospital bed admission considering State Space Model (SSM). Data on the admission rate of a state hospital was collected, spanning the period of historical data from 2001 until 2015. The findings indicate that State Space model can outperform common model due to its lower Mean Squared Errors. Female aged between 25 -34 years old are found to be having the highest variation, which could lead to unpredictable in terms of being admitted to hospital.

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Section: Resultsmentioning

confidence: 99%