Fahad Kamran

According to our database, Fahad Kamran authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

2025

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions.

Eray Erturk, Fahad Kamran, Salar Abbaspourazad, Sean Jewell, Harsh Sharma, Yujie Li, Sinead Williamson, Nicholas J. Foti, Joseph Futoma

CoRR, July, 2025

Reformulating patient stratification for targeting interventions by accounting for severity of downstream outcomes resulting from disease onset: a case study in sepsis.

Fahad Kamran, Donna Tjandra, Thomas S. Valley, Hallie C. Prescott, Nigam H. Shah, Vincent X. Liu, Eric Horvitz, Jenna Wiens

J. Am. Medical Informatics Assoc., 2025

2024

Learning to Rank for Optimal Treatment Allocation Under Resource Constraints.

Fahad Kamran, Maggie Makar, Jenna Wiens

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Aligning Machine Learning Solutions with Clinical Needs

Fahad Kamran

PhD thesis, 2023

Machine Learning for Health (ML4H) 2023.

Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee, Peniel N. Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen

Proceedings of the Machine Learning for Health, 2023

2022

Machine Learning for Health (ML4H) 2022.

Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed M. Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi

Proceedings of the Machine Learning for Health, 2022

2021

Noninvasive Estimation of Hydration Status in Athletes Using Wearable Sensors and a Data-Driven Approach Based on Orthostatic Changes.

Fahad Kamran, Victor C. Le, Adam Frischknecht, Jenna Wiens, Kathleen H. Sienko

Sensors, 2021

Automated Loss-of-Balance Event Identification in Older Adults at Risk of Falls during Real-World Walking Using Wearable Inertial Measurement Units.

Jeremiah Hauth, Safa Jabri, Fahad Kamran, Eyoel W. Feleke, Kaleab Nigusie, Lauro V. Ojeda, Shirley Handelzalts, Linda Nyquist, Neil B. Alexander, Xun Huan, Jenna Wiens, Kathleen H. Sienko

Sensors, 2021

Estimating Calibrated Individualized Survival Curves with Deep Learning.

Fahad Kamran, Jenna Wiens

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

When to remember where you came from: node representation learning in higher-order networks.

Caleb Belth, Fahad Kamran, Donna Tjandra, Danai Koutra

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019