Deepa Tilwani

Deepa Tilwani

Graduate Research Assistant@ AI Institute University of South Carolina

Publications

2023

Journals

  • Deepa Tilwani, Jessica Bradshaw, Amit Sheth, and Christian O’Reilly. “ECG Recordings as Predictors of Very Early Autism Likelihood: A Machine Learning Approach.” Bioengineering 10, no. 7 (2023): 827.

  • O’Reilly, Christian, Sai Durga Rithvik Oruganti, Deepa Tilwani, and Jessica Bradshaw. “Model-Driven Analysis of ECG Using Reinforcement Learning.” Bioengineering 10, no. 6 (2023): 696.

Abstracts published in refereed conference proceedings

  • Tilwani, D., Goswami, R., O’Reilly, C., Riccardi, N., Yang, X., Shalin, V., Shinkareva, S., Sheth, A.P., & Desai, R.H. (2023) Predicting Language Outcomes from MRI Post-Stroke: A Machine Learning Approach, OHBM 2023 Annual Meeting, Montreal Canada, 22-26 July 2023. Poster

2021

  • Porwal, Shrusti, Chintal Kumar Patel, Deepa Tilwani, and Shri Krishn Bansal. “A Comparative Study and Tool to Early Predict Diabetes Using Various Machine and Deep Learning Based Techniques.” Emerging Trends in Data Driven Computing and Communications: Proceedings of DDCIoT 2021 (2021): 333.