Sujay Kakarmath

According to our database, Sujay Kakarmath authored at least 6 papers between 2018 and 2024.

Collaborative distances:

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

2024

HeAR - Health Acoustic Representations.

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

CoRR, 2024

2023

Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning.

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

CoRR, 2023

2021

Deploying clinical machine learning? Consider the following...

Charles Lu, Ken Chang, Praveer Singh, Stuart R. Pomerantz, Sean Doyle, Sujay Kakarmath, Christopher P. Bridge, Jayashree Kalpathy-Cramer

CoRR, 2021

2020

Best practices for authors of healthcare-related artificial intelligence manuscripts.

Sujay Kakarmath, Andre Esteva, Rima Arnaout, Hugh Harvey, Santosh Kumar, Evan D. Muse, Feng Dong, Leia Wedlund, Joseph C. Kvedar

npj Digit. Medicine, 2020

2018

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.

Sara Bersche Golas, Takuma Shibahara, Stephen Agboola, Hiroko Otaki, Jumpei Sato, Tatsuya Nakae, Toru Hisamitsu, Go Kojima, Jennifer Felsted, Sujay Kakarmath, Joseph C. Kvedar, Kamal Jethwani

BMC Medical Informatics Decis. Mak., 2018

Prospective Evaluation of the Real-world Performance of a Machine Learning Algorithm to Predict 30-Day Readmissions in Patients with Heart Failure Using Electronic Medical Record Data.

Sujay S. Kakarmath, Sara Bersche Golas, Jennifer Felsted, Takuma Shibahara, Hideo Aoki, Mika Takata, Ken Naono, Joseph C. Kvedar, Kamal Jethwani, Stephen Agboola

Proceedings of the AMIA 2018, 2018