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Supreeth P Shashikumar
Supreeth P Shashikumar
Research Scientist
Verified email at health.ucsd.edu - Homepage
Title
Cited by
Cited by
Year
Early prediction of sepsis from clinical data: The physionet/computing in cardiology challenge 2019
MA Reyna, CS Josef, R Jeter, SP Shashikumar, MB Westover, S Nemati, ...
Critical Care Medicine 48 (2), 210-217, 2020
371*2020
A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology
SP Shashikumar, AJ Shah, Q Li, GD Clifford, S Nemati
2017 IEEE EMBS international conference on biomedical & health informatics …, 2017
1632017
Early sepsis detection in critical care patients using multiscale blood pressure and heart rate dynamics
SP Shashikumar, MD Stanley, I Sadiq, Q Li, A Holder, GD Clifford, ...
Journal of electrocardiology 50 (6), 739-743, 2017
1612017
Deep learning in the cross-time frequency domain for sleep staging from a single-lead electrocardiogram
Q Li, Q Li, C Liu, SP Shashikumar, S Nemati, GD Clifford
Physiological measurement 39 (12), 124005, 2018
852018
Detection of Paroxysmal Atrial Fibrillation Using Attention-based Bidirectional Recurrent Neural Networks
SP Shashikumar, AJ Shah, GD Clifford, S Nemati
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
832018
Predicting progression to septic shock in the emergency department using an externally generalizable machine-learning algorithm
G Wardi, M Carlile, A Holder, S Shashikumar, SR Hayden, S Nemati
Annals of emergency medicine 77 (4), 395-406, 2021
532021
DeepAISE–an interpretable and recurrent neural survival model for early prediction of sepsis
SP Shashikumar, CS Josef, A Sharma, S Nemati
Artificial intelligence in medicine 113, 102036, 2021
52*2021
Development and prospective validation of a deep learning algorithm for predicting need for mechanical ventilation
SP Shashikumar, G Wardi, P Paul, M Carlile, LN Brenner, KA Hibbert, ...
Chest 159 (6), 2264-2273, 2021
47*2021
Artificial intelligence sepsis prediction algorithm learns to say "I don't know"
SP Shashikumar, G Wardi, A Malhotra, N Shamim
npj Digital Medicine 4 (1), 134, 2021
372021
Multiscale network representation of physiological time series for early prediction of sepsis
SP Shashikumar, Q Li, GD Clifford, S Nemati
Physiological measurement 38 (12), 2235, 2017
352017
Ventricular ectopic beat detection using a wavelet transform and a convolutional neural network
Q Li, C Liu, Q Li, SP Shashikumar, S Nemati, Z Shen, GD Clifford
Physiological measurement 40 (5), 055002, 2019
302019
Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care?
R Jeter, C Josef, S Shashikumar, S Nemati
https://arxiv.org/abs/1902.03271, 0
18*
Improved vowel onset and offset points detection using bessel features
BD Sarma, SS Prajwal, SRM Prasanna
2014 International Conference on Signal Processing and Communications (SPCOM …, 2014
162014
Multiscale network dynamics between heart rate and locomotor activity are altered in schizophrenia
E Reinertsen, SP Shashikumar, AJ Shah, S Nemati, GD Clifford
Physiological measurement 39 (11), 115001, 2018
152018
Leveraging clinical data across healthcare institutions for continual learning of predictive risk models
F Amrollahi, SP Shashikumar, AL Holder, S Nemati
Scientific Reports 12 (1), 8380, 2022
142022
A locally optimized data-driven tool to predict sepsis-associated vasopressor use in the ICU
AL Holder, SP Shashikumar, G Wardi, TG Buchman, S Nemati
Critical Care Medicine 49 (12), e1196-e1205, 2021
132021
A FHIR-enabled streaming sepsis prediction system for ICUs
JR Henry, D Lynch, J Mals, SP Shashikumar, A Holder, A Sharma, ...
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
122018
Inclusion of social determinants of health improves sepsis readmission prediction models
F Amrollahi, SP Shashikumar, A Meier, L Ohno-Machado, S Nemati, ...
Journal of the American Medical Informatics Association 29 (7), 1263-1270, 2022
112022
Contextual embeddings from clinical notes improves prediction of sepsis
F Amrollahi, SP Shashikumar, F Razmi, S Nemati
AMIA Annual Symposium Proceedings 2020, 197, 2020
112020
AIDEx-an open-source platform for real-time forecasting sepsis and a case study on taking ML algorithms to production
F Amrollahi, SP Shashikumar, P Kathiravelu, A Sharma, S Nemati
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
82020
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