BEGIN:VCALENDAR
PRODID:-//Compnay Inc//Product Application//EN
VERSION:2.0
METHOD:PUBLISH
BEGIN:VEVENT
DTSTART:20260716T060000Z
DTEND:20260716T070000Z
DTSTAMP:20260713T014914Z
UID:7b3edad9-aece-412b-8795-2a45adc2f156
CREATED:20260709T102602Z
X-ALT-DESC;FMTTYPE=text/html:Castle.Proxies.LanguageContentMapProxy
DESCRIPTION:Abstract 
In this talk, I will present ensemble machine learning approaches for robust and generalizable clinical phenotyping from real-world longitudinal EHR data. I will focus on a multimodal ensemble learning framework trained on data from one institution and externally evaluated on an independent site, demonstrating improved robustness and fairness compared to individual model baselines. These results highlight that while algorithmic strategies can address data distribution shifts, sca...
LAST-MODIFIED:20260713T014914Z
LOCATION:Online seminarzoom meeting details:https://zoom.us/j/97464293675?pwd=u9R5R1qmxGdTOGrnhIPPpAkbWTUhez.1
meeting id: 974 6429 3675 passcode: 881578...
SEQUENCE:0
STATUS:CONFIRMED
SUMMARY:Ensemble Machine Learning for Generalizable Phenotyping from Longitudinal Electronic Health Records
TRANSP:OPAQUE
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END:VCALENDAR