| Summary: | 碩士 === 國立彰化師範大學 === 企業管理學系 === 105 === In recent years, the population of patients with dementia has increased and dementia issues in the global have gained attention gradually. The focus on patients with dementia emphasizes early detection and treatment so as to reduce huge impacts on patients and their families and to provide an effective professional care to reduce the load of patients with dementia. This study analyzes hospitalized patients with dementia in a medical center in Taiwan. First, apriori algorithm was used to analyze the hospitalized patients with dementia. Fifty eight patients with the detailed information from the self-built database are the objects. Gender, age, type of dementia, number of days in hospital, and hospital medical expenses are antecedents in apriori algorithm, while fifteen care targets are both antecedents and consequents. With the minimum support of 40%, minimum confidence of 95%, and lift greater than one, twenty one rules are generated. Eight refined generalized rules are further summarized. Seven out of eight rules depict the correlation between or among care targets, while one generalized rule is related to male patients with dementia. By applying Carma algorithm, the results show that fourteen rules are generated. Five refined generalized rules are further summarized to depict the correlation between or among care targets including the mood of caregivers. The results show that apriori algorithm produces better clear results and pays much attention to male patients with dementia and caregivers for particular care targets in practice. Therefore, the hospital management can bundle those care targets to provide better healthcare for patients with dementia.
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