Early detection of Alzheimer’s disease is important as medication from early stages can attenuate symptoms, delay their onset, and improve quality of life. As many patients with dementia due to Alzheimer’s disease share chronic diseases and associated comorbidity patterns, we use frequent temporal disease trajectories to form more specific patient subgroups. The prior temporal disease history of these patients could possibly provide new insights for earlier detection and contribute to a core disease progression model.