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Carly Eckert
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2020 – today
- 2021
- [c9]Muhammad Aurangzeb Ahmad, Carly Eckert, Christine Allen, Vikas Kumar, Juhua Hu, Ankur Teredesai:
Fairness in Healthcare AI. ICHI 2021: 554-555 - [c8]Muhammad Aurangzeb Ahmad, Steve Overman, Christine Allen, Vikas Kumar, Ankur Teredesai, Carly Eckert:
Software as a Medical Device: Regulating AI in Healthcare via Responsible AI. KDD 2021: 4023-4024 - [i3]Karthik K. Padthe, Vikas Kumar, Carly M. Eckert, Nicholas M. Mark, Anam Zahid, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Emergency Department Optimization and Load Prediction in Hospitals. CoRR abs/2102.03672 (2021) - [i2]Aloysius Lim, Ashish Singh, Jody Chiam, Carly Eckert, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Machine Learning Approaches for Type 2 Diabetes Prediction and Care Management. CoRR abs/2104.07820 (2021) - 2020
- [c7]Karthik K. Padthe, Vikas Kumar, Carly M. Eckert, Nicholas M. Mark, Anam Zahid, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Emergency Department Optimization and Load Prediction in Hospitals. AI4SG@AAAI Fall Symposium 2020 - [c6]Muhammad Aurangzeb Ahmad, Ankur Teredesai, Carly Eckert:
Fairness, accountability, transparency in AI at scale: lessons from national programs. FAT* 2020: 690 - [c5]Muhammad Aurangzeb Ahmad, Arpit Patel, Carly Eckert, Vikas Kumar, Ankur Teredesai:
Fairness in Machine Learning for Healthcare. KDD 2020: 3529-3530
2010 – 2019
- 2019
- [j1]Carly Eckert, Neris Nieves-Robbins, Elena Spieker, Tom Louwers, David Hazel, James Marquardt, Keith Solveson, Anam Zahid, Muhammad Ahmad, Richard Barnhill, T. Greg McKelvey, Robert Marshall, Eric A. Shry, Ankur Teredesai:
Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital. Appl. Clin. Inform. 10(02): 316-325 (2019) - [c4]Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai:
The Challenge of Imputation in Explainable Artificial Intelligence Models. AISafety@IJCAI 2019 - [i1]Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai:
The Challenge of Imputation in Explainable Artificial Intelligence Models. CoRR abs/1907.12669 (2019) - 2018
- [c3]Muhammad A. Ahmad, Carly Eckert, Greg McKelvey, Kiyana Zolfaghar, Anam Zahid, Ankur Teredesai:
Death vs. Data Science: Predicting End of Life. AAAI 2018: 7719-7726 - [c2]Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai:
Interpretable Machine Learning in Healthcare. BCB 2018: 559-560 - [c1]Muhammad Aurangzeb Ahmad, Ankur Teredesai, Carly Eckert:
Interpretable Machine Learning in Healthcare. ICHI 2018: 447
Coauthor Index
aka: Muhammad A. Ahmad
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