Andrew Wen
Publications by Year
Research Areas
Biomedical Text Mining and Ontologies, Topic Modeling, Machine Learning in Healthcare, Natural Language Processing Techniques, Data Quality and Management
Most-Cited Works
- → Clinical concept extraction: A methodology review(2020)173 cited
- → Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation(2019)141 cited
- → How Many Maneuvers Are Required to Measure Maximal Inspiratory Pressure Accurately?(1997)124 cited
- → Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries(2019)66 cited
- → Computational drug repurposing based on electronic health records: a scoping review(2022)59 cited
- → Developing a scalable FHIR-based clinical data normalization pipeline for standardizing and integrating unstructured and structured electronic health record data(2019)54 cited
- → Utilization of Electronic Medical Records and Biomedical Literature to Support the Diagnosis of Rare Diseases Using Data Fusion and Collaborative Filtering Approaches(2018)47 cited
- → Assessment of Electronic Health Record for Cancer Research and Patient Care Through a Scoping Review of Cancer Natural Language Processing(2022)47 cited
- → Ascertainment of Delirium Status Using Natural Language Processing From Electronic Health Records(2020)47 cited
- → Developing an FHIR-Based Computational Pipeline for Automatic Population of Case Report Forms for Colorectal Cancer Clinical Trials Using Electronic Health Records(2020)43 cited