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dc.contributor.authorDomanski, Michael J.
dc.date.accessioned2024-03-01T14:34:30Z
dc.date.available2024-03-01T14:34:30Z
dc.date.issued2022-12-07
dc.identifier.urihttp://hdl.handle.net/10713/21472
dc.descriptionRegistration flyer for ICTR presentation.en_US
dc.descriptionVideo recording of ICTR presentation.en_US
dc.description.abstractDomanski discusses a paper on the Association of Incident Cardiovascular Disease with Time Course and Cumulative Exposure to Multiple Risk Factors. Utilizing data from the Cardia study, a long-term study with 35 years of follow-up, to understand the impact of multiple risk factors on cardiovascular disease, the analysis involves a knowledge-guided machine learning procedure, focusing on influential risk predictors and dealing with highly correlated predictors.en_US
dc.description.urihttps://youtu.be/-7m8Jz9pO4Een_US
dc.language.isoen_USen_US
dc.subject.meshCardiovascular Diseasesen_US
dc.subject.meshLongitudinal Studiesen_US
dc.subject.meshMachine Learningen_US
dc.subject.meshRisk Factorsen_US
dc.titleICTR at Medical Grand Rounds: Cumulative Risk Factor Exposure and Cardiovascular Diseaseen_US
dc.typeBrochure/Programen_US
dc.typePoster/Presentationen_US
dc.typeVideoen_US
refterms.dateFOA2024-03-01T14:34:31Z


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