Anusha Bompelli

According to our database, Anusha Bompelli authored at least 12 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

A conversational agent system for dietary supplements use.

Esha Singh, Anusha Bompelli, Ruyuan Wan, Jiang Bian, Serguei Pakhomov, Rui Zhang

BMC Medical Informatics Decis. Mak., 2022

Classifying the lifestyle status for Alzheimer's disease from clinical notes using deep learning with weak supervision.

Zitao Shen, Dalton Schutte, Yoonkwon Yi, Anusha Bompelli, Fang Yu, Yanshan Wang, Rui Zhang

BMC Medical Informatics Decis. Mak., 2022

Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature.

Dalton Schutte, Jake Vasilakes, Anusha Bompelli, Yuqi Zhou, Marcelo Fiszman, Hua Xu, Halil Kilicoglu, Jeffrey R. Bishop, Terrence Adam, Rui Zhang

J. Biomed. Informatics, 2022

2021

Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature.

Dalton Schutte, Jake Vasilakes, Anusha Bompelli, Yuqi Zhou, Marcelo Fiszman, Hua Xu, Halil Kilicoglu, Jeffrey R. Bishop, Terrence Adam, Rui Zhang

CoRR, 2021

Social determinants of health in the era of artificial intelligence with electronic health records: A systematic review.

Anusha Bompelli, Yanshan Wang, Ruyuan Wan, Esha Singh, Yuqi Zhou, Lin Xu, David Oniani, Bhavani Singh Agnikula Kshatriya, Joyce E. Balls-Berry, Rui Zhang

CoRR, 2021

Extracting Lifestyle Factors for Alzheimer's Disease from Clinical Notes Using Deep Learning with Weak Supervision.

Zitao Shen, Yoonkwon Yi, Anusha Bompelli, Fang Yu, Yanshan Wang, Rui Zhang

CoRR, 2021

2020

Assessing the enrichment of dietary supplement coverage in the Unified Medical Language System.

Jake Vasilakes, Anusha Bompelli, Jeffrey R. Bishop, Terrence J. Adam, Olivier Bodenreider, Rui Zhang

J. Am. Medical Informatics Assoc., 2020

Natural Language Processing Methods to Extract Lifestyle Exposures for Alzheimer's Disease from Clinical Notes.

Yoonkwon Yi, Zitao Shen, Anusha Bompelli, Fang Yu, Yanshan Wang, Rui Zhang

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

A Prototype Conversational Agent for Dietary Supplements.

Esha Singh, Anusha Bompelli, Andrew Yang, Andrew Wang, Serguei Pakhomov, Rui Zhang

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model.

Anusha Bompelli, Jianfu Li, Yiqi Xu, Nan Wang, Yanshan Wang, Terrence J. Adam, Zhe He, Rui Zhang

Proceedings of the AMIA 2020, 2020

Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT.

Anusha Bompelli, Greg M. Silverman, Raymond L. Finzel, Jake Vasilakes, Benjamin Knoll, Serguei Pakhomov, Rui Zhang

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Normalizing Dietary Supplement Product Names Using the RxNorm Model.

Jake Vasilakes, Yadan Fan, Rubina F. Rizvi, Anusha Bompelli, Olivier Bodenreider, Rui Zhang

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019