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ORCIDSupreeth P. Shashikumar
Person information
- affiliation: University of California San Diego, La Jolla, CA, USA
- affiliation (PhD 2020): Georgia Institute of Technology, Atlanta, GA, USA
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2020 – today
- 2024
[j4]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:
Impact of a deep learning sepsis prediction model on quality of care and survival. npj Digit. Medicine 7(1) (2024)- 2023
- [c10]Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Aaron Boussina, Haben Yhdego, Arshia Nayebnazar, Nathan Yung, Gabriel Wardi, Shamim Nemati:
Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable Data. EMBC 2023: 1-4 - [c9]Aaron Boussina, Supreeth P. Shashikumar, Fatemeh Amrollahi, Hayden Pour, Michael A. Hogarth, Shamim Nemati:
Development & Deployment of a Real-time Healthcare Predictive Analytics Platform. EMBC 2023: 1-4 - [c8]Supreeth P. Shashikumar, Fatemeh Amrollahi, Shamim Nemati:
Unsupervised Detection and Correction of Model Calibration Shift at Test-Time. EMBC 2023: 1-4 - 2022
- [j3]Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Angela Meier, Lucila Ohno-Machado, Shamim Nemati, Gabriel Wardi:
Inclusion of social determinants of health improves sepsis readmission prediction models. J. Am. Medical Informatics Assoc. 29(7): 1263-1270 (2022) - [c7]Archil K. Srivastava, Supreeth P. Shashikumar, Shamim Nemati:
A Comparison of Uncertainty Estimation Methods for Deep Learning-based Clinical Risk Scores. AMIA 2022 - 2021
- [b1]Supreeth Prajwal Shashikumar:
Generalizable Models for Prediction of Physiological Decompensation from multivariate and Multiscale Physiological Time Series using Deep Learning and Transfer Learning Techniques. Georgia Institute of Technology, Atlanta, GA, USA, 2021 - [j2]Supreeth P. Shashikumar, Christopher Josef, Ashish Sharma, Shamim Nemati:
DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsis. Artif. Intell. Medicine 113: 102036 (2021) - [j1]Supreeth P. Shashikumar, Gabriel Wardi, Atul Malhotra, Shamim Nemati:
Artificial intelligence sepsis prediction algorithm learns to say "I don't know". npj Digit. Medicine 4 (2021) - 2020
- [c6]Fatemeh Amrollahi, Supreeth P. Shashikumar, Fereshteh Razmi, Shamim Nemati:
Contextual Embeddings from Clinical Notes Improves Prediction of Sepsis. AMIA 2020 - [c5]Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Pradeeban Kathiravelu, Ashish Sharma, Shamim Nemati:
AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to Production. EMBC 2020: 5610-5614
2010 – 2019
- 2019
- [c4]Matthew A. Reyna, Christopher Josef, Salman Seyedi, Russell Jeter, Supreeth P. Shashikumar, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari D. Clifford:
Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019. CinC 2019: 1-4 - [i3]Russell J. Bradford, Christopher J. Sangwin, Supreeth P. Shashikumar, Shamim Nemati:
Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care? CoRR abs/1902.03271 (2019) - [i2]Supreeth P. Shashikumar, Christopher Josef, Ashish Sharma, Shamim Nemati:
DeepAISE - An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis. CoRR abs/1908.04759 (2019) - 2018
- [c3]Joel R. Henry, Dennis Lynch, Jeff Mals, Supreeth P. Shashikumar, Andre L. Holder, Ashish Sharma, Shamim Nemati:
A FHIR-Enabled Streaming Sepsis Prediction System for ICUs. EMBC 2018: 4093-4096 - [c2]Supreeth Prajwal Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati:
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks. KDD 2018: 715-723 - [i1]Supreeth Prajwal Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati:
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks. CoRR abs/1805.09133 (2018) - 2017
- [c1]Supreeth Prajwal Shashikumar, Amit J. Shah, Qiao Li, Gari D. Clifford, Shamim Nemati:
A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology. BHI 2017: 141-144
Coauthor Index
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