Sujay Kakarmath

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 5

Top Topics

Artificial Intelligence

Clinical Diagnosis

Machine Learning

Top Venues

BMC Medical Informatics Decis. Mak.

npj Digit. Medicine

Publications

Sebastien Baur, Zaid Nabulsi, Wei-Hung Weng, Jake Garrison, Louis Blankemeier, Sam Fishman, Christina Chen, Sujay Kakarmath, Minyoi Maimbolwa, Nsala Sanjase, Brian Shuma, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Shruthi Prabhakara, Monde Muyoyeta, Diego Ardila
HeAR - Health Acoustic Representations. CoRR (2024)
Wei-Hung Weng, Sebastien Baur, Mayank Daswani, Christina Chen, Lauren Harrell, Sujay Kakarmath, Mariam Jabara, Babak Behsaz, Cory Y. McLean, Yossi Matias, Gregory S. Corrado, Shravya Shetty, Shruthi Prabhakara, Yun Liu, Goodarz Danaei, Diego Ardila
Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning. CoRR (2023)
Charles Lu, Ken Chang, Praveer Singh, Stuart R. Pomerantz, Sean Doyle, Sujay Kakarmath, Christopher P. Bridge, Jayashree Kalpathy-Cramer
Deploying clinical machine learning? Consider the following... CoRR (2021)
Sujay Kakarmath, Andre Esteva, Rima Arnaout, Hugh Harvey, Santosh Kumar, Evan Muse, Feng Dong, Leia Wedlund, Joseph C. Kvedar
Best practices for authors of healthcare-related artificial intelligence manuscripts. npj Digit. Medicine 3 (2020)
Sara Bersche Golas, Takuma Shibahara, Stephen Agboola, Hiroko Otaki, Jumpei Sato, Tatsuya Nakae, Toru Hisamitsu, Go Kojima, Jennifer Felsted, Sujay Kakarmath, Joseph Kvedar, Kamal Jethwani
A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data. BMC Medical Informatics Decis. Mak. 18 (1) (2018)