Majid Rastegar-Mojarad
Majid Rastegar-Mojarad
Informatics Specialist , Mayo Clinic
Verified email at - Homepage
Cited by
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Clinical information extraction applications: a literature review
Y Wang, L Wang, M Rastegar-Mojarad, S Moon, F Shen, N Afzal, S Liu, ...
Journal of biomedical informatics 77, 34-49, 2018
A comparison of word embeddings for the biomedical natural language processing
Y Wang, S Liu, N Afzal, M Rastegar-Mojarad, L Wang, F Shen, ...
Journal of biomedical informatics 87, 12-20, 2018
Toward a complete dataset of drug-drug interaction information from publicly available sources
S Ayvaz, J Horn, O Hassanzadeh, Q Zhu, J Stan, N Tatonetti, S Vilar, ...
Journal of Biomedical Informatics, 2015
Opportunities for drug repositioning from phenome-wide association studies
M Rastegar-Mojarad, Z Ye, JM Kolesar, SJ Hebbring, SM Lin
Nature Biotechnology 33, 2015
Toward a Learning Health-care System–Knowledge Delivery at the Point of Care Empowered by Big Data and NLP
V Kaggal, R Komandur Elayavilli, S Mehrabi, J Pankratz, S Sohn, Y Wang, ...
Biomedical Informatics Insights 8 (Suppl 1), 13, 2016
Collecting and Analyzing Patient Experiences of Health Care From Social Media.
M Rastegar-Mojarad, Z Ye, D Wall, N Murali, S Lin
JMIR research protocols 4 (3), e78-e78, 2015
Application of Clinical Text Data for Phenome-Wide Association Studies (PheWASs)
SJ Hebbring, M Rastegar-Mojarad, Z Ye, J Mayer, C Jacobson, S Lin
Bioinformatics, 2015
Dependency and AMR embeddings for drug-drug interaction extraction from biomedical literature
Y Wang, S Liu, M Rastegar-Mojarad, L Wang, F Shen, F Liu, H Liu
Proceedings of the 8th acm international conference on bioinformatics …, 2017
Detecting signals in noisy data - can ensemble classifiers help identify adverse drug reaction in tweets?
M Rastegar-Mojarad, R Komandur Elayavilli, Y Yu, H Liu
Proceedings of the social media mining shared task workshop at the Pacific …, 2015
UWM-TRIADS: classifying drug-drug interactions with two-stage SVM and post-processing
M Rastegar-Mojarad, RD Boyce, R Prasad
Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013
‘RE:fine drugs’: an interactive dashboard to access drug repurposing opportunities
S Moosavinasab, J Patterson, R Strouse, M Rastegar-Mojarad, K Regan, ...
Database, 2016
Training corpora for the extraction of causal relationships coded in Biological Expression Language (BEL)
J Fluck, S Madan, S Ansari, TA Kodamullil, R Karki, M Rastegar-Mojarad, ...
Database (Oxford), 2016
Training and evaluation corpora for the extraction of causal relationships encoded in Biological Expression Language (BEL)
J Fluck, S Madan, S Ansari, TA Kodamullil, R Karki, M Rastegar-Mojarad, ...
Database (Oxford), 2016
Dynamic enhancement of drug product labels to support drug safety, efficacy, and effectiveness
RD Boyce, JR Horn, O Hassanzadeh, A De Waard, J Schneider, ...
Journal of Biomedical Semantics 4 (1), 5, 2013
MedSTS: a resource for clinical semantic textual similarity
Y Wang, N Afzal, S Fu, L Wang, F Shen, M Rastegar-Mojarad, H Liu
Language Resources and Evaluation 54 (1), 57-72, 2020
A new method for prioritizing drug repositioning candidates extracted by literature-based discovery
M Rastegar-Mojarad, RK Elayavilli, D Li, R Prasad, H Liu
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015
BELMiner: adapting a rule-based relation extraction system to extract biological expression language statements from bio-medical literature evidence sentences
KE Ravikumar, M Rastegar-Mojarad, H Liu
Database 2017, 2017
Using Social Media Data to Identify Potential Candidates for Drug Repurposing: A Feasibility Study
M Rastegar-Mojarad, H Liu, P Nambisan
JMIR Res Protoc 5, 2016
Rare disease knowledge enrichment through a data-driven approach
F Shen, Y Zhao, L Wang, MR Mojarad, Y Wang, S Liu, H Liu
BMC medical informatics and decision making 19 (1), 32, 2019
Systematic identification of latent disease-gene associations from PubMed articles
Y Zhang, F Shen, MR Mojarad, D Li, S Liu, C Tao, Y Yu, H Liu
PloS one 13 (1), e0191568, 2018
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