Carly Eckert

11 papers A* 3Journal 3Unranked 5
YearRankTypeTitle / Venue / Authors
2021 — conf
Fairness in Healthcare AI.
ICHI
Muhammad Aurangzeb Ahmad, Carly Eckert, Christine Allen, Vikas Kumar, Juhua Hu, Ankur Teredesai
2021 J jnl
Machine Learning Approaches for Type 2 Diabetes Prediction and Care Management.
CoRR
Aloysius Lim, Ashish Singh, Jody Chiam, Carly Eckert, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai
2021 A* conf
Software as a Medical Device: Regulating AI in Healthcare via Responsible AI.
KDD
Muhammad Aurangzeb Ahmad, Steve Overman, Christine Allen, Vikas Kumar, Ankur Teredesai, Carly Eckert
2020 A* conf
Fairness in Machine Learning for Healthcare.
KDD
Muhammad Aurangzeb Ahmad, Arpit Patel, Carly Eckert, Vikas Kumar, Ankur Teredesai
2020 — conf
Fairness, accountability, transparency in AI at scale: lessons from national programs.
FAT*
Muhammad Aurangzeb Ahmad, Ankur Teredesai, Carly Eckert
2019 J jnl
Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital.
Appl. Clin. Inform.
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
2019 — conf
The Challenge of Imputation in Explainable Artificial Intelligence Models.
AISafety@IJCAI
Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai
2019 J jnl
The Challenge of Imputation in Explainable Artificial Intelligence Models.
CoRR
Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai
2018 A* conf
Death vs. Data Science: Predicting End of Life.
AAAI
Muhammad A. Ahmad, Carly Eckert, Greg McKelvey, Kiyana Zolfaghar, Anam Zahid, Ankur Teredesai
2018 — conf
Interpretable Machine Learning in Healthcare.
BCB
Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai
2018 — conf
Interpretable Machine Learning in Healthcare.
ICHI
Muhammad Aurangzeb Ahmad, Ankur Teredesai, Carly Eckert