Margaret Smith

According to our database, Margaret Smith authored at least 5 papers between 2020 and 2022.

Collaborative distances:

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

2022

Considerations in the reliability and fairness audits of predictive models for advance care planning.

Jonathan Lu, Amelia Sattler, Samantha Wang, Ali Raza Khaki, Alison Callahan, Scott L. Fleming, Rebecca Fong, Benjamin Ehlert, Ron C. Li, Lisa Shieh, Kavitha Ramchandran, Michael Gensheimer, Sarah Chobot, Stephen Pfohl, Siyun Li, Kenny Shum, Nitin Parikh, Priya Desai, Briththa Seevaratnam, Melanie Hanson, Margaret Smith, Yizhe Xu, Arjun Gokhale, Steven Lin, Michael A. Pfeffer, Winifred Teuteberg, Nigam H. Shah

Frontiers Digit. Health, 2022

2021

A framework for making predictive models useful in practice.

Kenneth Jung, Sehj Kashyap, Anand Avati, Stephanie Harman, Heather Shaw, Ron C. Li, Margaret Smith, Kenny Shum, Jacob Javitz, Yohan Vetteth, Tina Seto, Steven C. Bagley, Nigam H. Shah

J. Am. Medical Informatics Assoc., 2021

2020

A Common Operating Picture Framework Leveraging Data Fusion and Deep Learning.

Benjamin Ortiz, David Lindenbaum, Joseph Nassar, Brendan Lammers, John Wahl, Robert Mangum, Margaret Smith, Marc Bosch

CoRR, 2020

Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video.

Marc Bosch, Joseph Nassar, Benjamin Ortiz, Brendan Lammers, David Lindenbaum, John Wahl, Robert Mangum, Margaret Smith

CoRR, 2020

It's not just a last mile problem: Partnering with process improvement and human factors to integrate machine learning into healthcare delivery.

Ron C. Li, Naveen Muthu, Margaret Smith, Swaminathan Kandaswamy, Jonathan H. Chen

Proceedings of the AMIA 2020, 2020