Data Analytics of Electronic Health Records to Enhance Care of Coronary Artery Disease in Younger Women with Avoiding Possible Delay in Treatment
Autor: | Panahiazar, Maryam, Bishara, Andrew M, Chern, Yorick, Alizadehsani, Roohallah, Latif, Omar S, Hadley, Dexter, Beygui, Ramin E |
---|---|
Rok vydání: | 2022 |
Předmět: |
Data Science
Coronary Artery Disease Cardiovascular Atherosclerosis Time-to-Treatment Treatment Outcome Heart Disease Library and Information Studies Risk Factors Clinical Research Public Health and Health Services Humans Electronic Health Records Female Coronary Artery Bypass Heart Disease - Coronary Heart Disease Medical Informatics |
Popis: | 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. |
Databáze: | OpenAIRE |
Externí odkaz: |