| 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 | 442* | 2020 |
| 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 | 187 | 2017 |
| 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 | 180 | 2017 |
| 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 | 101 | 2018 |
| 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 | 93 | 2018 |
| 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 | 79 | 2021 |
| 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 | 72* | 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 | 63 | 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 | 62 | 2021 |
| 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 | 51 | 2017 |
| 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 | 35 | 2019 |
| 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 | 26 | 2022 |
| 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 | 26* | |
| Impact of a deep learning sepsis prediction model on quality of care and survival A Boussina, SP Shashikumar, A Malhotra, RL Owens, R El-Kareh, ... npj Digital Medicine 7 (1), 14, 2024 | 24 | 2024 |
| 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 | 22 | 2021 |
| 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 | 20 | 2022 |
| Contextual embeddings from clinical notes improves prediction of sepsis F Amrollahi, SP Shashikumar, F Razmi, S Nemati AMIA annual symposium proceedings 2020, 197, 2021 | 18 | 2021 |
| Early prediction of sepsis from clinical data-the PhysioNet computing in cardiology challenge 2019 (version 1.0. 0) M Reyna, C Josef, R Jeter, S Shashikumar, B Moody, MB Westover, ... PhysioNet, 2019 | 16 | 2019 |
| 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 | 16 | 2014 |
| 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 | 15 | 2018 |
Shamim NematiUCSDVerified email at ucsd.edu
