Zachary Burningham
Biographic Data
| ID | 7876133 |
|---|---|
| NAME | Zachary Burningham |
| GIVEN NAMES | Zachary |
| FAMILY NAME | Burningham |
| SIGNATURE | BURNINGHAM Z |
| AFFILIATIONS | University of Utah |
| ORCID | 0000-0001-9545-6817 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Beyond Geography
Defining Veteran Rurality
Predicting Survival in Veterans with Follicular Lymphoma Using Structured Electronic Health Record Information and Machine Learning
The most accurate prognostic approach for follicular lymphoma (FL), progression of disease at 24 months (POD24), requires two years' observation after initiating first-line therapy (L1) to predict outcomes. We applied machine learning to structured electronic health record (EHR) data to predict individual survival at L1 initiation. We grouped 523 observations and 1933 variables from a nationwide cohort of FL patients diagnosed 2006-2014 in the Ve…
No prominent works on this page.
Predicting Survival in Veterans with Follicular Lymphoma Using Structured Electronic Health Record Information and Machine Learning
The most accurate prognostic approach for follicular lymphoma (FL), progression of disease at 24 months (POD24), requires two years' observation after initiating first-line therapy (L1) to predict outcomes. We applied machine learning to structured electronic health record (EHR) data to predict individual survival at L1 initiation. We grouped 523 observations and 1933 variables from a nationwide cohort of FL patients diagnosed 2006-2014 in the Ve…
Beyond Geography
Defining Veteran Rurality
Health care (3 works) · Administration (probate law) (2 works) · Global Health Workforce Issues (2 works) · Primary Care and Health Outcomes (2 works) · Rural area (2 works) · Rural health (2 works) · Rurality (2 works) · Artificial Intelligence (1 works) · Categorization (1 works) · Cluster (spacecraft) (1 works)