Dr. Agrawal is a Professor of Computer Science at Manhattan College with research interests in the field of Data mining and Medical Informatics. He was also the Assistant Chair for two years in 2014-16.
A. Agrawal and K. Qazi, "Quality Assurance of SNOMED CT using Lexical Similarity and Sibling Relationships," In 2023 the 7th International Conference on Medical and Health Informatics (ICMHI 2023), May 12-14, 2023, Kyoto, Japan, https://doi.org/10.1145/3608298.3608317.
K. Qazi and A. Agrawal, "A Context-based Crowd Sourcing Tool for Quality Assurance of SNOMED CT," 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, pp. 2848-2854, doi: 10.1109/BIBM52615.2021.9669688.
A. Agrawal and L. Cui. "Quality assurance and enrichment of biological and biomedical ontologies and terminologies." BMC Medical Informatics & Decision Making, 2020
A. Agrawal and K. Qazi. "Detecting modeling inconsistencies in SNOMED CT using a machine learning technique." Methods, 2020
A. Agrawal and K. Qazi. "A Machine Learning Approach for Quality Assurance of SNOMED CT." IEEE International Conference on Bioinformatics and Biomedicine (BIBM), San Diego, CA, USA, 2019, pp. 792-798, doi: 10.1109/BIBM47256.2019.8983193
Ankur Agrawal. "Evaluating Lexical Similarity and Modeling Discrepancies in the Procedure Hierarchy of SNOMED CT." BMC Medical Informatics and Decision Making, 2018
Schillaci McInnis and Ankur Agrawal. "Web-based Visualization and Navigation of the Content of SNOMED CT." IEEE ICACCE, 2018
Ankur Agrawal and Paul Revelo. "Analysis of the consistency in the structural modeling of SNOMED CT and CORE problem list concepts." IEEE International Conference on Bioinformatics and Biomedicine, 2017
Tim Hamling and Ankur Agrawal. "Sentiment Analysis of Tweets to Gain Insights into the 2016 US Election.” Columbia Undergraduate Science Journal, 2017
Ignasi Vegas and Ankur Agrawal. "Efficient Video Editing for Mobile Applications.” International Journal of Advanced Computer Science & Applications, vol. 8, no. 1, 2017
Ankur Agrawal, Yehoshua Perl, Chris Ochs and Gai Elhanan. “A contextual auditing method for SNOMED CT concepts.” International Journal of Data Mining and Bioinformatics, 2016
Agrawal A, Perl Y, Ochs C, Elhanan G, Algorithmic Detection of Inconsistent Modeling among SNOMED CT Concepts by Combining Lexical and Structural indicators, IEEE International Conference on Bioinformatics and Biomedicine, 2015
Tian T, Agrawal A, Quantifying the Relationship between Hit Count Estimates and Wikipedia Article Traffic, International Journal of Advanced Computer Science and Applications, 2015
Masi A, Agrawal A, Developing a Search Algorithm and a Visualization Tool for SNOMED CT, International Journal of Advanced Computer Science and Applications, 2015
Ochs C, Geller J, Perl Y, Chen Y, Agrawal A, Case J, Hripcsak G, A Tribal Abstraction Network for SNOMED CT Target Hierarchies without Attribute Relationships, Accepted for Publication, Journal of American Medical Informatics Association, 2014.
Agrawal A, Elhanan G, Contrasting Lexical Similarity and Formal Definitions in SNOMED CT: Consistency and Implications, Journal of Biomedical Informatics, 2014.
Sanz, D, Agrawal A, Automated Menu Recommendation System Based on Past Preferences, International Journal of Advanced Computer Science & Applications, 2014.
Agrawal A, Perl Y, Chen Y, Elhanan G, Liu M, Identifying inconsistencies in SNOMED CT problem lists using structural indicators, AMIA annual symposium proceedings, Washington D.C., November 2013.
He Z, Ochs C, Agrawal A, Perl Y, Zeginis D, Tarabanis K, Elhanan G, A family-based framework for supporting quality assurance of biomedical ontologies in BioPortal, AMIA annual symposium proceedings, Washington D.C., November 2013.
Agrawal A, Perl Y, Elhanan G, Identifying problematic concepts in SNOMED CT using a lexical approach, Studies in health technology and informatics (MedInfo), Copenhagen, September 2013.
Agrawal A, He Z, Perl Y, Wei D, Halper M, Elhanan G, The readiness of SNOMED problem list concepts for meaningful use of electronic health records, Journal of Artificial Intelligence in Medicine, pp. 73-80, Jun 2013.
Ochs C, Agrawal A, Perl Y, Halper M, Tu SW, Carini S, Sim I, Noy N, Musen M, Geller J, Deriving an abstraction network to support quality assurance in OCRe, AMIA annual symposium proceedings, Chicago, IL, pp. 681-689, November 2012.
Agrawal A, Elhanan G, Halper M, Dissimilarities in the logical modeling of apparently similar concepts in SNOMED CT, AMIA annual symposium proceedings, Washington D.C., pp. 212-216, November 2010.