Bethany Percha
Publications by Year
Research Areas
Biomedical Text Mining and Ontologies, Machine Learning in Healthcare, COVID-19 Clinical Research Studies, Topic Modeling, Computational Drug Discovery Methods
Most-Cited Works
- → Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation(2020)237 cited
- → Informatics confronts drug–drug interactions(2013)202 cited
- → Transition from local to global phase synchrony in small world neural network and its possible implications for epilepsy(2005)145 cited
- → A global network of biomedical relationships derived from text(2018)134 cited
- → DISCOVERY AND EXPLANATION OF DRUG-DRUG INTERACTIONS VIA TEXT MINING(2011)124 cited
- → Individuals with Down syndrome hospitalized with COVID-19 have more severe disease(2020)94 cited
- → Measures of Sexual Partnerships: Lengths, Gaps, Overlaps, and Sexually Transmitted Infection(2006)82 cited
- → Modern Clinical Text Mining: A Guide and Review(2021)65 cited
- → Identifying phenotypic signatures of neuropsychiatric disorders from electronic medical records(2013)63 cited
- → Automatic classification of mammography reports by BI-RADS breast tissue composition class(2012)62 cited