We're thrilled to welcome to the Stanford Uro Family- Angeleque Hartt from SUNY-Downstate @PagingDrHartt, home student Dylan Peterson & Calvin Zhao from NYU!
Happy Matching! #uromatch#AUAMatch@AmerUrological
Machine Learning Applied to Electronic Health Records: Identification of Chemotherapy Patients at High Risk for Preventable Emergency Department Visits and Hospital Admissions https://t.co/rAoaQ6n5qN
Bringing Informatics to Quality Measurement: Identification of Chemotherapy Patients at High Risk for OP-35 @BlayneyDouglas@DylanJPeterson#nci https://t.co/vHsZnDmCjM
The final ML poster from Dylan Peterson and Tina Hernandez Broussard @StanfordCancer@Stanford
ML used to identify patients starting chemo at risk of acute care events and showed high accuracy so can be used for preventable interventions (similar to SHIELD-RT)