Mental disorders and medical comorbidities: Association rule mining approach

Chia Hui Wang, Tzu Yin Lee, King Cheung Hui, Min Huey Chung

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)517-526
Number of pages10
JournalPerspectives in Psychiatric Care
Issue number3
Publication statusPublished - Jul 1 2019


  • association rule mining
  • comorbidity
  • psychiatric disorder

ASJC Scopus subject areas

  • Phychiatric Mental Health


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