Anusha Bompelli
Publications by Year
Research Areas
Biomedical Text Mining and Ontologies, Topic Modeling, Machine Learning in Healthcare, Natural Language Processing Techniques, Computational Drug Discovery Methods
Most-Cited Works
- → Classifying the lifestyle status for Alzheimer’s disease from clinical notes using deep learning with weak supervision(2022)34 cited
- → Assessing the enrichment of dietary supplement coverage in the Unified Medical Language System(2020)11 cited
- → Natural Language Processing Methods to Extract Lifestyle Exposures for Alzheimer’s Disease from Clinical Notes(2020)9 cited
- → Normalizing Dietary Supplement Product Names Using the RxNorm Model(2019)4 cited
- → Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT(2020)4 cited
- → Extracting Lifestyle Factors for Alzheimer's Disease from Clinical Notes Using Deep Learning with Weak Supervision(2021)4 cited
- → A Prototype Conversational Agent for Dietary Supplements(2020)1 cited
- → HSD85 The Impact of a Virtual Home Environmental Assessment and Modification Project on Pediatric Asthma Symptom Burden and Control(2023)1 cited
- → Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model(2020)1 cited
- Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model.(2020)