Area of research
Oncology · Artificial Intelligence
Research interest
Research interests include Biomedical Text Mining and Ontologies, Global Cancer Incidence and Screening, Topic Modeling, and AI in cancer detection.
Making the case for an International Childhood Cancer Data Partnership
Counts, incidence rates, and trends of pediatric cancer in the United States, 2003-2019
31-Gene Expression Profile Testing in Cutaneous Melanoma and Survival Outcomes in a Population-Based Analysis: A SEER Collaboration
Use of the Decipher genomic classifier among men with prostate cancer in the United States
Association of clinical factors and recent anticancer therapy with COVID-19 severity among patients with cancer: a report from the COVID-19 and Cancer Consortium
Limitations of Transformers on Clinical Text Classification
Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types
Deep active learning for classifying cancer pathology reports
Electronic Medical Record Search Engine (EMERSE): An Information Retrieval Tool for Supporting Cancer Research
Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports
Effect of complications on oncologic outcomes after pancreaticoduodenectomy for pancreatic cancer