Association of comorbid-socioeconomic clusters with mortality in late onset epilepsy derived through unsupervised machine learning

Late-onset epilepsy is a unique entity compared to that in younger adults. After age 65, the clinicodemographic characteristics defining the condition diverge significantly from that in younger adults [1]. The aetiologies underlying late-onset epilepsy differ substantially, with strokes, neurodegenerative diseases, and brain tumours frequently reported as the primary underlying cause, where it is known [2]. Increasing longevity, coupled with the attendant rise of these associated conditions, likely accounts for the rising incidence of late-onset epilepsy in the Western world over the last 45 years [3,4].

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