Publications

My Master’s thesis was “Biomedical concept association and clustering using word embeddings,” which I worked on at Purdue School of Engineering and Technology, IUPUI. It is available to download through Purdue Hammer and IUPUI ScholarWorks.

The patents I have been awarded include:

  1. S. Shah, et al., “Method and system for automatically determining responses in a messaging platform”, U. S. Patent 11,868,384-B2. Published January, 2024. Available through USPTO.
  2. S. Shah, “Method and system for computer-aided escalation in a digital health platform”, U. S. Patent 11,710,576-B2. Published July, 2023. Available through USPTO.
  3. A. Chaturvedi, S. Shah, et al., “Method and system for automatically prioritizing content provided to a user”, U. S. Patent 12,099,808-B2. Published September, 2024. Available through USPTO.

The following includes my research that has been published in various journals and conferences:

  1. S. Shah, Z. Ben Miled, R. Schaefer and S. Berube, “Differential Learning for Outliers: A Case Study of Water Demand Prediction,” in Applied Sciences vol. 8, no. 11, 2018. Available through MDPI.
  2. S. Shah, X. Luo, S. Kanakasabai, R. Tuason, and G. Klopper, “Neural Networks for Mining the Associations between Diseases and Symptoms in Clinical Notes,” in Health Information Science and Systems vol. 7, no. 1, 2018. Available through Springer.
  3. S. Shah, M. Hosseini, Z. Ben Miled, R. Schafer and S. Berube, “A water demand prediction model for Central Indiana,” in Proceedings of the Thirtieth Conference on Innovative Applications of Artificial Intelligence (IAAI ’18), New Orleans, USA, 2018. Available through AAAI Publications.
  4. A. Chaturvedi, B. Aylward, S. Shah, G. Graziani, J. Zhang, B. Manuel, E. Telewa, S. Froelich, O. Baruwa, P. Kulkarni, W. Xi, S. Kunkle, “Content Recommendation Systems in Web-Based Mental Health Care: Real-world Application and Formative Evaluation,” in Journal of Medical Internet Research: Formative Research vol. 7, no. 1, 2023. Available from JMIR.
  5. X. Luo and S. Shah, “Concept embedding-based weighting scheme for biomedical text clustering and visualization,” in Applied Informatics vol. 5, no. 1, 2018. Available through Springer.
  6. S. Shah and X. Luo, “Comparison of Deep Learning based Concept Representations for Biomedical Document Clustering,” in Proceedings of 2018 IEEE International Conference on Biomedical and Health Informatics (BHI ’18), Las Vegas, USA, 2018. Available on IEEEXplore.
  7. S. Shah and X. Luo, “Exploring diseases based biomedical document clustering and visualization using self-organizing maps,” in Proceedings of the 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom), Dalian, China, 2017. Available on IEEEXplore.
  8. S. Shah and X. Luo, “Extracting Modifiable Risk Factors from Narrative Preventive Healthcare Guidelines for EHR Integration,” in Proceedings of the 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE ’17), Washington DC, USA, 2017. Available on IEEEXplore.
  9. X. Luo, G. Zimet and S. Shah, “A Natural Language Processing Framework to analyse the opinions on HPV Vaccination Reflected in Twitter over 10 Years (2008 - 2017),” in Human Vaccines & Immunotherapeutics vol. 15, no. 8, 2019. Available through Taylor & Francis.
  10. I. Terziyska, S. Shah and X. Luo, “Are Recent Terrorism Trends Reflected in Social Media?” in Proceedings of the 2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 4th National Workshop for REU Research in Networking and Systems, Orlando, USA, 2017. Available on IEEEXplore.

Except having the honor of publications, I have also been featured in a few university briefs.

And some media coverage and presentations originating from work: