Underserved populations with missing race ethnicity data differ significantly from those with structured race/ethnicity documentation
2019 · Journal of the American Medical Informatics Association · 89 citations
https://doi.org/10.1093/jamia/ocz040
E
Evan Sholle
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Evan Sholle is an academic researcher from Cornell University. The author has contributed to research in topics: Biomedical Text Mining and Ontologies & Machine Learning in Healthcare & Electronic Health Records Systems. The author has an h-index of 22, co-authored 65 publications.
ORCID: 0000-0001-9518-4399Papers by this author
worksAssessing the impact of social determinants of health on predictive models for potentially avoidable 30-day readmission or death
2020 · PLoS ONE · 51 citations
https://doi.org/10.1371/journal.pone.0235064
Portability of natural language processing methods to detect suicidality from clinical text in US and UK electronic health records
2022 · Journal of Affective Disorders Reports · 22 citations
https://doi.org/10.1016/j.jadr.2022.100430
Utilizing electronic health data and machine learning for the prediction of 30-day unplanned readmission or all-cause mortality in heart failure
2020 · Cardiovascular Digital Health Journal · 18 citations
https://doi.org/10.1016/j.cvdhj.2020.07.004
Impact of Race and Neighborhood Socioeconomic Characteristics on Liver Cancer Diagnosis in Patients with Viral Hepatitis and Cirrhosis
2023 · Journal of Clinical and Experimental Hepatology · 8 citations
https://doi.org/10.1016/j.jceh.2023.01.005
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