精神障碍和医学共病：关联规则挖掘方法。
Mental disorders and medical comorbidities: Association rule mining approach.
机构信息
Department of Nursing, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.
出版信息
Perspect Psychiatr Care. 2019 Jul;55(3):517-526. doi: 10.1111/ppc.12362. Epub 2019 Feb 7.
PURPOSE
This study explored the medical comorbidities of mental disorders using association rule mining.
DESIGN AND METHODS
Patients diagnosed with mental disorders between 2002 and 2010 were identified. An equal number of nonmental disorder subjects were randomly selected and matched with case group by age and gender.
FINDINGS
Sleep disorders and digestive diseases were frequent comorbidities among mental disorders. The specific medical comorbidities were diabetes mellitus, chronic liver disease, extrapyramidal diseases, disorders of stomach function, general symptoms, sleep disturbance, and family circumstances.
PRACTICE IMPLICATIONS
The results suggest that education of professional knowledge of comorbid conditions should be provided to nurses for caring patients with mental illnesses.
目的
本研究采用关联规则挖掘探讨了精神障碍的合并症。
设计和方法
确定了 2002 年至 2010 年间诊断为精神障碍的患者。按年龄和性别与病例组随机匹配了相同数量的非精神障碍患者。
结果
睡眠障碍和消化系统疾病是精神障碍的常见合并症。具体的合并症包括糖尿病、慢性肝病、锥体外系疾病、胃部功能障碍、一般症状、睡眠障碍和家庭环境。
实践意义
结果表明，应为护理精神疾病患者的护士提供合并症专业知识的教育。
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