Priyanka Annapureddy

According to our database, Priyanka Annapureddy authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Analysis and Prediction of In- Hospital Risks Among COVID-19 Patients with Substance Use Disorder (SUD).

Jiawei Wu, Priyanka Annapureddy, Praveen Madiraju, Sheikh Iqbal Ahamed, Jennifer Hernandez-Meier, Constance Kostelac, Julia Dickson-Gomez

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023

Learning Performance Efficiency of College Basketball Players Using TVAE.

Nasim Yahyasoltani, Priyanka Annapureddy, Manzur Farazi

IEEE Access, 2023

2021

Learning Performance Efficiency of College Basketball Players.

Nasim Yahyasoltani, Manzur Farazi, Priyanka Annapureddy

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

A Machine Learning Approach to Predict Length of Stay for Opioid Overdose Admitted Patients.

Jiawei Wu, Priyanka Annapureddy, Zach Farahany, Praveen Madiraju

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Identifying Precursors to Long-Term Crisis in Veterans Using Associative Classifier.

Priyanka Annapureddy, Zeno Franco, Praveen Madiraju, Sheikh Iqbal Ahamed, Mark Flower, Md Fitrat Hossain, Md. Romael Haque, Nadiyah Johnson, Sabirat Rubya, Natalie Danielle Baker, Niharika Jain, Otis Winstead

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Implementing Algorithmic Crisis Alerts in mHealth Systems for Veterans with PTSD.

Md Fitrat Hossain, Thomas Kissane, Priyanka Annapureddy, Wylie Frydrychowicz, Sheikh Iqbal Ahamed, Naveen Bansal, Praveen Madiraju, Niharika Jain, Mark Flower, Katinka Hooyer, Lisa Rein, Zeno Franco

Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management, 2020

Predicting PTSD Severity in Veterans from Self-reports for Early Intervention: A Machine Learning Approach.

Priyanka Annapureddy, Md Fitrat Hossain, Thomas Kissane, Wylie Frydrychowicz, Paromita Nitu, Joseph Coelho, Nadiyah Johnson, Praveen Madiraju, Zeno Franco, Katinka Hooyer, Niharika Jain, Mark Flower, Sheikh Iqbal Ahamed

Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020

Veterans, PTSD and Social Media: Towards Identifying Trauma Text Categories using Grounded Theory.

Joseph Coelho, Katinka Hooyer, Danielle Olsen, Priyanka Annapureddy, Nadiyah Johnson, Praveen Madiraju, Zeno Franco, Mark Flower, Sheikh Iqbal Ahamed

Proceedings of the Companion of the 2020 ACM International Conference on Supporting Group Work, 2020

Understanding Veterans Expression of Anger Using Social Media Analysis.

Nadiyah Johnson, Joseph Coelho, Md Fitrat Hossain, Thomas Kissane, Wylie Frydrychowicz, Praveen Madiraju, Zeno Franco, Katinka Hooyer, Priyanka Annapureddy, Sheikh Iqbal Ahamed

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Predicting Opioid Overdose Readmission and Opioid Use Disorder with Machine Learning.

Sarah McDougall, Priyanka Annapureddy, Praveen Madiraju, Nicole Fumo, Stephen Hargarten

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020