Stroke epidemiology: a review of population-based studies of incidence, prevalence, and case-fatality in the late 20th century.

By Valery Feigin, C. Lawes, D. Bennett, C. Anderson. Lancet Neurology, 2003

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Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration (2018, background): “7,8 Importantly, early diagnosis of ICH is of critical clinical importance since nearly half of the resulting mortality occurs in the ﬁ rst 24 h, 9 and earlier treatment likely improves outcomes.”
Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks (2017, neutral): “Cerebral ischemia causes approximately 80% of strokes (Feigin et al., 2003).”
Multi-modal Deep Learning (2024, background): “Intracerebral hemorrhage (ICH) is a prevalent neurological emergency, accounting for 6.5 % - 19.6 % of all strokes and exhibiting higher morbidity and mortality rates compared to ischemic strokes [1].”
Risk Factors for Subarachnoid Hemorrhage: An Updated Systematic Review of Epidemiological Studies (2005, methodology): “Alcohol consumption was categorized in 3 groups: (1) no alcohol consumption; (2) consumption of 150 g per week; and (3) consumption of 150 g per week.”
Stroke incidence and prevalence in Europe: a review of available data (2006, background): “Comparison of ideal studies with WHO estimates According to a recent review of stroke incidence and prevalence papers published in the 1990s there were a total of 9 stroke incidence studies (including two based on overlapping populations) and three prevalence studies from European countries that met”