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Alizadehsani, Roohallah

0000-0003-0898-5054

A5083567791 | I149704539

Mayo Clinic

Deakin University

Citations 1

Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment

Studies in Health Technology and Informatics | June 7, 2022 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.3233/shti220277 | PMID 35673215

Early detection plays a key role to enhance the outcome for Coronary Artery Disease. We utilized a big data analytics platform on ∼32,000 patients to trace patients from the first encounter to CAD treatment. There are significant gender-based differences in patients younger than 60 from the time of the first encounter to Coronary Artery Bypass Grafting with a p-value=0.03. This recognition makes significant changes in outcome by avoiding delay in treatment.