Jake Vasilakes

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Medical Literature

Interactive Visual

Event Extraction

Top Venues

J. Am. Medical Informatics Assoc.

J. Biomed. Informatics

Publications

Jake Vasilakes, Zhixue Zhao, Ivan Vykopal, Michal Gregor, Martin Hyben, Carolina Scarton
ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread. CoRR (2024)
Jake Vasilakes, Panagiotis Georgiadis, Nhung T. H. Nguyen, Makoto Miwa, Sophia Ananiadou
Contextualized medication event extraction with levitated markers. J. Biomed. Informatics 141 (2023)
Jake Vasilakes, Chrysoula Zerva, Makoto Miwa, Sophia Ananiadou
Learning Disentangled Representations of Negation and Uncertainty. CoRR (2022)
Tanya Melnik, Joshua A. Thompson, Jake Vasilakes, Tucker Annis, Sicheng Zhou, Dalton Schutte, Genevieve Melton-Meaux, Susan Pleasants, Rui Zhang
Semi-automated Clinical Content Curation of COVID-19 Chatbot Remote Patient Monitoring Solution. AMIA (2022)
Dalton Schutte, Jake Vasilakes, Anusha Bompelli, Yuqi Zhou, Marcelo Fiszman, Hua Xu, Halil Kilicoglu, Jeffrey R. Bishop, Terrence Adam, Rui Zhang
Discovering novel drug-supplement interactions using SuppKG generated from the biomedical literature. J. Biomed. Informatics 131 (2022)
Jake Vasilakes, Chrysoula Zerva, Makoto Miwa, Sophia Ananiadou
Learning Disentangled Representations of Negation and Uncertainty. ACL (1) (2022)
Dalton Schutte, Jake Vasilakes, Anusha Bompelli, Yuqi Zhou, Marcelo Fiszman, Hua Xu, Halil Kilicoglu, Jeffrey R. Bishop, Terrence Adam, Rui Zhang
Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature. CoRR (2021)
Greg M. Silverman, Raymond L. Finzel, Michael V. Heinz, Jake Vasilakes, Jacob C. Solinsky, Reed McEwan, Benjamin C. Knoll, Christopher J. Tignanelli, Hongfang Liu, Hua Xu, Xiaoqian Jiang, Genevieve B. Melton, Serguei V. S. Pakhomov
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles. CoRR (2021)
Anusha Bompelli, Greg M. Silverman, Raymond L. Finzel, Jake Vasilakes, Benjamin Knoll, Serguei Pakhomov, Rui Zhang
Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT. AIME (2020)
Rubina F. Rizvi, Jake Vasilakes, Terrence J. Adam, Genevieve B. Melton, Jeffrey R. Bishop, Jiang Bian, Cui Tao, Rui Zhang
iDISK: the integrated DIetary Supplements Knowledge base. J. Am. Medical Informatics Assoc. 27 (4) (2020)
Jake Vasilakes, Anusha Bompelli, Jeffrey R. Bishop, Terrence J. Adam, Olivier Bodenreider, Rui Zhang
Assessing the enrichment of dietary supplement coverage in the Unified Medical Language System. J. Am. Medical Informatics Assoc. 27 (10) (2020)
Xing He, Rui Zhang, Rubina F. Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia C. F. Prosperi, Jinhai Huo, Jordan Alpert, Jiang Bian
ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design. BMC Medical Informatics Decis. Mak. (4) (2019)
Rubina F. Rizvi, Yefeng Wang, Thao Nguyen, Jake Vasilakes, Jiang Bian, Zhe He, Rui Zhang
Analyzing Social Media Data to Understand Consumers' Information Needs on Dietary Supplements. CoRR (2019)
Jake Vasilakes, Yadan Fan, Rubina F. Rizvi, Anusha Bompelli, Olivier Bodenreider, Rui Zhang
Normalizing Dietary Supplement Product Names Using the RxNorm Model. MedInfo (2019)
Rubina F. Rizvi, Yefeng Wang, Thao Nguyen, Jake Vasilakes, Jiang Bian, Zhe He, Rui Zhang
Analyzing Social Media Data to Understand Consumer Information Needs on Dietary Supplements. MedInfo (2019)
Xing He, Rui Zhang, Rubina F. Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia C. F. Prosperi, Jiang Bian
Prototyping an Interactive Visualization of Dietary Supplement Knowledge Graph. BIBM (2018)