Dylan Peterson
@DylanJPeterson
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MD and MS in Biomedical Informatics candidate @StanfordMed | @Harvard '17 | Aspiring Urologist | Data science to improve health outcomes
Stanford, CA
Joined November 2020
Excited to see this work finally published! Eat your fiber!
cell.com
Lancaster et al. directly test the effects of two highly purified fibers on extensive clinical and biochemical profiles. They found that arabinoxylan, a common fiber of Metamucil, reduced cholesterol...
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Timely lecture in my design and analysis of algorithms class on stable matching and the NRMP match algorithm. Unsure how this takes 2 weeks to run…
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Could not be more excited to have matched at this outstanding program and to be joining the Stanford Stream Team! #uromatch #AUAMatch
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
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Machine Learning Applied to Electronic Health Records: Identification of Chemotherapy Patients at High Risk for Preventable Emergency Department Visits and Hospital Admissions
pubmed.ncbi.nlm.nih.gov
Dense EHR data can identify patients at risk for ACU using ML with promising accuracy. These models have potential to improve cancer care outcomes, patient experience, and costs by allowing for...
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Bringing Informatics to Quality Measurement: Identification of Chemotherapy Patients at High Risk for OP-35 @BlayneyDouglas @DylanJPeterson #nci
ascopubs.org
PURPOSEAcute care use (ACU) is a major driver of oncologic costs and is penalized by a Centers for Medicare & Medicaid Services quality measure, OP-35. Targeted interventions reduce preventable ACU;...
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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)
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