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Supreeth P Shashikumar

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 13, 2024
A Prospective Comparison of Large Language Models for Early Prediction of SepsisSupreeth P Shashikumar, Shamim Nemati
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Unsupervised Detection and Correction of Model Calibration Shift at Test-TimeSupreeth P Shashikumar, Fatemeh Amrollahi, Shamim Nemati
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 3, 2021
Contextual Embeddings from Clinical Notes Improves Prediction of SepsisFatemeh Amrollahi, Supreeth P Shashikumar, Fereshteh Razmi, et al.
NPJ Digital Medicine|September 10, 2021
Artificial intelligence sepsis prediction algorithm learns to say "I don't know"Supreeth P Shashikumar, Gabriel Wardi, Atul Malhotra, et al.
Artificial Intelligence in Medicine|March 9, 2021
DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsisSupreeth P Shashikumar, Christopher S Josef, Ashish Sharma, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Improving Prediction of Need for Mechanical Ventilation using Cross-AttentionAnwesh Mohanty, Supreeth P Shashikumar, Jonathan Y Lam, et al.
Scientific Reports|May 19, 2022
Leveraging clinical data across healthcare institutions for continual learning of predictive risk modelsFatemeh Amrollahi, Supreeth P Shashikumar, Andre L Holder, et al.
Physiological Measurement|November 2, 2017
Multiscale network representation of physiological time series for early prediction of sepsisSupreeth P Shashikumar, Qiao Li, Gari D Clifford, et al.
Physiological Measurement|September 18, 2018
Multiscale network dynamics between heart rate and locomotor activity are altered in schizophreniaErik Reinertsen, Supreeth P Shashikumar, Amit J Shah, et al.
Critical Care Medicine|July 14, 2021
A Locally Optimized Data-Driven Tool to Predict Sepsis-Associated Vasopressor Use in the ICUAndre L Holder, Supreeth P Shashikumar, Gabriel Wardi, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 13, 2024
A Prospective Comparison of Large Language Models for Early Prediction of SepsisSupreeth P Shashikumar, Shamim Nemati
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Unsupervised Detection and Correction of Model Calibration Shift at Test-TimeSupreeth P Shashikumar, Fatemeh Amrollahi, Shamim Nemati
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 3, 2021
Contextual Embeddings from Clinical Notes Improves Prediction of SepsisFatemeh Amrollahi, Supreeth P Shashikumar, Fereshteh Razmi, et al.
NPJ Digital Medicine|September 10, 2021
Artificial intelligence sepsis prediction algorithm learns to say "I don't know"Supreeth P Shashikumar, Gabriel Wardi, Atul Malhotra, et al.
Artificial Intelligence in Medicine|March 9, 2021
DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsisSupreeth P Shashikumar, Christopher S Josef, Ashish Sharma, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Improving Prediction of Need for Mechanical Ventilation using Cross-AttentionAnwesh Mohanty, Supreeth P Shashikumar, Jonathan Y Lam, et al.
Scientific Reports|May 19, 2022
Leveraging clinical data across healthcare institutions for continual learning of predictive risk modelsFatemeh Amrollahi, Supreeth P Shashikumar, Andre L Holder, et al.
Physiological Measurement|November 2, 2017
Multiscale network representation of physiological time series for early prediction of sepsisSupreeth P Shashikumar, Qiao Li, Gari D Clifford, et al.
Physiological Measurement|September 18, 2018
Multiscale network dynamics between heart rate and locomotor activity are altered in schizophreniaErik Reinertsen, Supreeth P Shashikumar, Amit J Shah, et al.
Critical Care Medicine|July 14, 2021
A Locally Optimized Data-Driven Tool to Predict Sepsis-Associated Vasopressor Use in the ICUAndre L Holder, Supreeth P Shashikumar, Gabriel Wardi, et al.
Pageof 3