Carson Lam

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 4

Top Topics

Acute Respiratory Distress Syndrome

Extracorporeal Membrane Oxygenation

Electronic Health Record

Machine Learning

Top Venues

Journal of clinical medicine

JMIR medical informatics

medRxiv : the preprint server for health sciences

JMIR formative research

This page only lists publications with an associated author ORCID identifier.

Publications

Keyvan Rahmani, Rahul Thapa, Peiling Tsou, Satish Casie Chetty, Gina Barnes, Carson Lam, Chak Foon Tso
Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction. medRxiv : the preprint server for health sciences (2022)
Carson Lam, Rahul Thapa, Jenish Maharjan, Keyvan Rahmani, Chak Foon Tso, Navan Preet Singh, Satish Casie Chetty, Qingqing Mao
Multitask Learning With Recurrent Neural Networks for Acute Respiratory Distress Syndrome Prediction Using Only Electronic Health Record Data: Model Development and Validation Study. JMIR medical informatics 10 (6) (2022)
Carson Lam, Chak Foon Tso, Abigail Green-Saxena, Emily Pellegrini, Zohora Iqbal, Daniel Evans, Jana L Hoffman, Jacob Calvert, Qingqing Mao, Ritankar Das
Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study. JMIR formative research 5 (9) (2021)
Hoyt Burdick, Carson Lam, Samson J Mataraso, Anna C Siefkas, Gregory Braden, R Phillip Dellinger, Andrea McCoy, Jean-Louis Vincent, Abigail Green-Saxena, Gina Barnes, Jana L Hoffman, Jacob Calvert, Emily Pellegrini, Ritankar Das
Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?-The IDENTIFY Trial. Journal of clinical medicine 9 (12) (2020)