Carson K. Lam

According to our database, Carson K. Lam authored at least 6 papers between 1994 and 2023.

Collaborative distances:

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

2023

Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction.

Keyvan Rahmani, Rahul Thapa, Pei-Ling Tsou, Satish Casie Chetty, Gina Barnes, Carson K. Lam, Chak Foon Tso

Int. J. Medical Informatics, May, 2023

2020

Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial.

Hoyt Burdick, Carson K. Lam, Samson Mataraso, Anna Siefkas, Gregory Braden, R. Phillip Dellinger, Andrea McCoy, Jean-Louis Vincent, Abigail Green-Saxena, Gina Barnes, Jana L. Hoffman, Jacob S. Calvert, Emily Pellegrini, Ritankar Das

Comput. Biol. Medicine, 2020

2018

Distributed deep learning networks among institutions for medical imaging.

Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer

J. Am. Medical Informatics Assoc., 2018

2017

Institutionally Distributed Deep Learning Networks.

Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer

CoRR, 2017

Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors.

Darvin Yi, Rebecca Lynn Sawyer, David Cohn III, Jared Dunnmon, Carson K. Lam, Xuerong Xiao, Daniel L. Rubin

CoRR, 2017

1994

Performance analysis of some hard-decision combining schemes.

Richard Cam, Cyril Leung, Carson K. Lam

IEEE Trans. Commun., 1994