Supreeth P. Shashikumar

According to our database, Supreeth P. Shashikumar authored at least 20 papers between 2017 and 2024.

Collaborative distances:

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

2024

Author Correction: Impact of a deep learning sepsis prediction model on quality of care and survival.

Aaron Boussina, Supreeth P. Shashikumar, Atul Malhotra, Robert L. Owens, Robert El-Kareh, Christopher A. Longhurst, Kimberly Quintero, Allison Donahue, Theodore C. Chan, Shamim Nemati, Gabriel Wardi

npj Digit. Medicine, 2024

Impact of a deep learning sepsis prediction model on quality of care and survival.

Aaron Boussina, Supreeth P. Shashikumar, Atul Malhotra, Robert L. Owens, Robert El-Kareh, Christopher A. Longhurst, Kimberly Quintero, Allison Donahue, Theodore C. Chan, Shamim Nemati, Gabriel Wardi

npj Digit. Medicine, 2024

Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction.

Vishal Nagarajan, Supreeth Prajwal Shashikumar, Atul Malhotra, Shamim Nemati, Gabriel Wardi

J. Am. Medical Informatics Assoc., 2024

Improving Prediction of Need for Mechanical Ventilation using Cross-Attention.

Anwesh Mohanty, Supreeth P. Shashikumar, Jonathan Y. Lam, Shamim Nemati

CoRR, 2024

2023

Unsupervised Detection and Correction of Model Calibration Shift at Test-Time.

Supreeth P. Shashikumar, Fatemeh Amrollahi, Shamim Nemati

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Development & Deployment of a Real-time Healthcare Predictive Analytics Platform.

Aaron Boussina, Supreeth P. Shashikumar, Fatemeh Amrollahi, Hayden Pour, Michael A. Hogarth, Shamim Nemati

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable Data.

Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Aaron Boussina, Haben Yhdego, Arshia Nayebnazar, Nathan Yung, Gabriel Wardi, Shamim Nemati

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Inclusion of social determinants of health improves sepsis readmission prediction models.

Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Angela Meier, Lucila Ohno-Machado, Shamim Nemati, Gabriel Wardi

J. Am. Medical Informatics Assoc., 2022

A Comparison of Uncertainty Estimation Methods for Deep Learning-based Clinical Risk Scores.

Archil K. Srivastava, Supreeth P. Shashikumar, Shamim Nemati

Proceedings of the AMIA 2022, 2022

2021

Generalizable Models for Prediction of Physiological Decompensation from multivariate and Multiscale Physiological Time Series using Deep Learning and Transfer Learning Techniques.

Supreeth Prajwal Shashikumar

PhD thesis, 2021

Artificial intelligence sepsis prediction algorithm learns to say "I don't know".

Supreeth P. Shashikumar, Gabriel Wardi, Atul Malhotra, Shamim Nemati

npj Digit. Medicine, 2021

DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsis.

Supreeth P. Shashikumar, Christopher Josef, Ashish Sharma, Shamim Nemati

Artif. Intell. Medicine, 2021

2020

AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to Production.

Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Pradeeban Kathiravelu, Ashish Sharma, Shamim Nemati

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Contextual Embeddings from Clinical Notes Improves Prediction of Sepsis.

Fatemeh Amrollahi, Supreeth P. Shashikumar, Fereshteh Razmi, Shamim Nemati

Proceedings of the AMIA 2020, 2020

2019

DeepAISE - An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis.

Supreeth P. Shashikumar, Christopher Josef, Ashish Sharma, Shamim Nemati

CoRR, 2019

Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care?

Russell J. Bradford, Christopher J. Sangwin, Supreeth P. Shashikumar, Shamim Nemati

CoRR, 2019

Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019.

Matthew A. Reyna, Christopher Josef, Salman Seyedi, Russell Jeter, Supreeth P. Shashikumar, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari D. Clifford

Proceedings of the 46th Computing in Cardiology, 2019

2018

Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks.

Supreeth Prajwal Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A FHIR-Enabled Streaming Sepsis Prediction System for ICUs.

Joel R. Henry, Dennis Lynch, Jeff Mals, Supreeth P. Shashikumar, Andre L. Holder, Ashish Sharma, Shamim Nemati

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology.

Supreeth Prajwal Shashikumar, Amit J. Shah, Qiao Li, Gari D. Clifford, Shamim Nemati

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017