Vijay Mago

Faculty & School/Dept.

Faculty of Health - School of Health Policy & Management

Degrees

PhD in Computer Science - 2010
Panjab University
India

MSc Computer Science - 2001
Guru Nanak Dev University
India

Biography

Dr. Mago joined the School of Health Policy & Management at York University as an associate professor with a specialization in health informatics and analytics. His current research interests include health informatics, text analysis, natural language processing, big data analytics, and modelling and simulation of complex health systems.

Selected Publications

Fisher, A., Young, M. M., Payer, D., Pacheco, K., Dubeau, C., & Mago, V. (2023). Automating detection of drug-related harms on social media: machine learning framework. Journal of medical internet research, 25, e43630.

Liyanage, C. R., Mago, V., Schiff, R., Ranta, K., Park, A., Lovato-Day, K., ... & Gokani, R. (2023). Understanding Why Many People Experiencing Homelessness Reported Migrating to a Small Canadian City: Machine Learning Approach With Augmented Data. JMIR Formative Research, 7, e43511.

Singhal, A., & Mago, V. (2023, August). Exploring How Healthcare Organizations Use Twitter: A Discourse Analysis. In Informatics (Vol. 10, No. 3, p. 65). MDPI.

Randle, T., Garg, A., Mago, V., Choudhury, S., Ohle, R., Strasser, R., ... & Savage, D. W. (2023). Staffing rural emergency departments in Ontario: The who, what and where. Canadian Journal of Rural Medicine, 28(2), 73.

Shahbandegan, A., Mago, V., Alaref, A., van der Pol, C. B., & Savage, D. W. (2022). Developing a machine learning model to predict patient need for computed tomography imaging in the emergency department. Plos One, 17(12), e0278229.

Baxi, M. K., Sharma, R., & Mago, V. (2022). Studying topic engagement and synergy among candidates for 2020 US Elections. Social Network Analysis and Mining, 12(1), 136.

Rao, G., Mago, V., Lingras, P., & Savage, D. W. (2022). AEDNav: indoor navigation for locating automated external defibrillator. BMC Medical Informatics and Decision Making, 22(2), 1-17.

Phatak, A., Savage, D. W., Ohle, R., Smith, J., & Mago, V. (2022). Medical Text Simplification Using Reinforcement Learning (TESLEA): Deep Learning–Based Text Simplification Approach. JMIR Medical Informatics, 10(11), e38095.

Singhal, A., Baxi, M. K., & Mago, V. (2022). Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models. JMIR Medical Informatics, 10(8), e37829.

Fisher, A., Gajderowicz, B., Latimer, E., Aubry, T., & Mago, V. (2022). BEAUT: An ExplainaBle deep learning model for agent-based populations with poor data. Knowledge-Based Systems, 248, 108836.

Garg, M., Saxena, C., Saha, S., Krishnan, V., Joshi, R., & Mago, V. (2022, June). CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts. In Proceedings of the Thirteenth Language Resources and Evaluation Conference (pp. 6387-6396).

Chandrasekaran, D., & Mago, V. (2021). Comparative analysis of word embeddings in assessing semantic similarity of complex sentences. IEEE Access, 9, 166395-166408.

Emu, M., Chandrasekaran, D., Mago, V., & Choudhury, S. (2021, June). Validating optimal COVID-19 vaccine distribution models. In International Conference on Computational Science (pp. 352-366). Cham: Springer International Publishing.

Zainab, K., Srivastava, G., & Mago, V. (2021). Identifying health related occupations of Twitter users through word embedding and deep neural networks. BMC bioinformatics, 22(10), 1-16.

Garg, A., & Mago, V. (2021). Role of machine learning in medical research: A survey. Computer science review, 40, 100370.

Chandrasekaran, D., & Mago, V. (2021). Evolution of semantic similarity—a survey. ACM Computing Surveys (CSUR), 54(2), 1-37.

Tassone, Joseph, Peizhi Yan, Mackenzie Simpson, Chetan Mendhe, Vijay Mago, and Salimur Choudhury. "Utilizing deep learning and graph mining to identify drug use on Twitter data." BMC Medical Informatics and Decision Making 20, no. 11 (2020): 1-15.

Rao, G., Choudhury, S., Lingras, P., Savage, D., & Mago, V. (2020). SURF: identifying and allocating resources during out-of-hospital cardiac arrest. BMC Medical Informatics and Decision Making, 20(11), 1-15.

Mendhe, C. H., Henderson, N., Srivastava, G., & Mago, V. (2020). A scalable platform to collect, store, visualize, and analyze big data in real time. IEEE Transactions on Computational Social Systems, 8(1), 260-269.

Fisher, A., Mago, V., & Latimer, E. (2020). Simulating the evolution of homeless populations in canada using modified deep q-learning (mdql) and modified neural fitted q-iteration (mnfq) algorithms. IEEE Access, 8, 92954-92968.

Khanam, K. Z., Srivastava, G., & Mago, V. (2023). The homophily principle in social network analysis: A survey. Multimedia Tools and Applications, 82(6), 8811-8854.

Khayyatkhoshnevis, P., Choudhury, S., Latimer, E., & Mago, V. (2020). Smart city response to homelessness. IEEE Access, 8, 11380-11392.

Shah, N., Srivastava, G., Savage, D. W., & Mago, V. (2020). Assessing Canadians health activity and nutritional habits through social media. Frontiers in public health, 7, 400.

Sharma, G., Srivastava, G., & Mago, V. (2019). A framework for automatic categorization of social data into medical domains. IEEE Transactions on Computational Social Systems, 7(1), 129-140.

Janda, H. K., Pawar, A., Du, S., & Mago, V. (2019). Syntactic, semantic and sentiment analysis: The joint effect on automated essay evaluation. IEEE Access, 7, 108486-108503.

Heppner, A., Pawar, A., Kivi, D., & Mago, V. (2019). Automating articulation: Applying natural language processing to post-secondary credit transfer. IEEE Access, 7, 48295-48306.

Sandhu, M., Vinson, C. D., Mago, V. K., & Giabbanelli, P. J. (2019). From associations to sarcasm: mining the shift of opinions regarding the supreme court on twitter. Online Social Networks and Media, 14, 100054.

Pawar, A., & Mago, V. (2019). Challenging the boundaries of unsupervised learning for semantic similarity. IEEE Access, 7, 16291-16308.

Robinson, K., & Mago, V. (2018). Birds of prey: identifying lexical irregularities in spam on twitter. Wireless Networks, 1-8.

Shah, N., Willick, D., & Mago, V. (2018). A framework for social media data analytics using Elasticsearch and Kibana. Wireless networks, 1-9.

Supervision

Currently available to supervise graduate students: Yes

Currently taking on work-study students, Graduate Assistants or Volunteers: Yes

Available to supervise undergraduate thesis projects: No

Current Research

• Ethical issues of large language models
• Natural language processing
• Machine learning & health care
• Big data analytics
• Modelling and Simulation of health care processes

Research Projects

Reliable and efficient real-time tools for collecting and analyzing large health datasets
Role: Principal Investigator
Amount funded: $140,000
Year Funded: 2016
Duration: 6
Funded by: Other...

Curriculum Vitae (C.V. file):

CV of Vijay Mago