Hybrid approach for intrusion detection system P Singh, M Venkatesan 2018 International conference on current trends towards converging …, 2018 | 33 | 2018 |
CovidNLP: A Web Application for Distilling Systemic Implications of COVID-19 Pandemic with Natural Language Processing R Awasthi, R Pal, P Singh, A Nagori, S Reddy, A Gulati, P Kumaraguru, ... MedRxiv, 2020.04. 25.20079129, 2020 | 9 | 2020 |
Temperature and humidity do not influence global COVID-19 incidence as inferred from causal models R Awasthi, A Nagori, P Singh, R Pal, V Joshi, T Sethi MedRxiv, 2020.06. 29.20142307, 2020 | 6 | 2020 |
Early prediction of hemodynamic shock in pediatric intensive care units with deep learning on thermal videos V Vats, A Nagori, P Singh, R Dutt, H Bandhey, M Wason, R Lodha, T Sethi Frontiers in Physiology 13, 862411, 2022 | 5 | 2022 |
Generalized prediction of hemodynamic shock in intensive care units A Nagori, P Singh, S Firdos, V Vats, A Gupta, H Bandhey, A Kalia, ... medRxiv, 2021.01. 07.21249121, 2021 | 2 | 2021 |
Heart Rate Assessment in a Pediatric ICU with Non-Contact Infrared Thermography and Machine Learning A Kaur, S Prajapati, P Singh, A Nagori, R Lodha, T Sethi medRxiv, 2022.11. 18.22282443, 2022 | 1 | 2022 |
Early prediction of hypothermia in pediatric intensive care units using machine learning P Singh, A Nagori, R Lodha, T Sethi Frontiers in Physiology 13, 921884, 2022 | 1 | 2022 |
ShockModes: A Multimodal Model for Prognosticating Intensive Care Outcomes from Physician Notes and Vitals R Pal, S Patel, A Bhatnagar, H Garg, P Singh, RS Soun, A Agarwal, ... medRxiv, 2022.12. 16.22283559, 2022 | | 2022 |
A Prospectively Validated Generalizable Model for Outcome Prognostication Using Shock Index in Intensive Care Units A Nagori, P Singh, S Firdos, V Vats, A Gupta, H Bandhey, A Kalia, ... | | |