| Predicting ptsd severity in veterans from self-reports for early intervention: A machine learning approach P Annapureddy, MF Hossain, T Kissane, W Frydrychowicz, P Nitu, ... 2020 IEEE 21st International Conference on Information Reuse and Integration …, 2020 | 5 | 2020 |
| Predicting Opioid Overdose Readmission and Opioid Use Disorder with Machine Learning S McDougall, P Annapureddy, P Madiraju, N Fumo, S Hargarten 2020 IEEE International Conference on Big Data (Big Data), 4892-4901, 2020 | 4 | 2020 |
| Veterans, PTSD and Social Media: Towards Identifying Trauma Text Categories using Grounded Theory J Coelho, K Hooyer, D Olsen, P Annapureddy, N Johnson, P Madiraju, ... Companion Proceedings of the 2020 ACM International Conference on Supporting …, 2020 | 4 | 2020 |
| Identifying Precursors to Long-Term Crisis in Veterans Using Associative Classifier P Annapureddy, Z Franco, P Madiraju, SI Ahamed, M Flower, MF Hossain, ... 2021 IEEE International Conference on Big Data (Big Data), 4633-4642, 2021 | 3 | 2021 |
| Understanding veterans expression of anger using social media analysis N Johnson, J Coelho, MF Hossain, T Kissane, W Frydrychowi, M Praveen, ... 2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020 | 3 | 2020 |
| A machine learning approach to predict length of stay for opioid overdose admitted patients J Wu, P Annapureddy, Z Farahany, P Madiraju 2021 IEEE International Conference on Big Data (Big Data), 4790-4797, 2021 | 2 | 2021 |
| Predicting Mental Health Crisis in Veterans: Early Warning Signs, Precursors and Protective Factors P Annapureddy Marquette University, 2022 | | 2022 |
| Implementing Algorithmic Crisis Alerts in mHealth Systems for Veterans with PTSD MS Hossain, P Annapureddy, SI Ahamed, P Madiraju, M Flower, L Rein, ... Information Systems for Crisis Response and Management (ISCRAM), 2020 | | 2020 |
