| Predicting hemodynamic shock from thermal images using machine learning A Nagori, LS Dhingra, A Bhatnagar, R Lodha, T Sethi Scientific reports 9 (1), 91, 2019 | 39 | 2019 |
| Vacsim: Learning effective strategies for covid-19 vaccine distribution using reinforcement learning R Awasthi, KK Guliani, SA Khan, A Vashishtha, MS Gill, A Bhatt, A Nagori, ... Intelligence-Based Medicine 6, 100060, 2022 | 25 | 2022 |
| Effects of ambient air pollution on emergency room visits of children for acute respiratory symptoms in Delhi, India R Yadav, A Nagori, A Mukherjee, V Singh, R Lodha, SK Kabra, G Yadav, ... Environmental Science and Pollution Research 28, 45853-45866, 2021 | 20 | 2021 |
| Acute hypertensive episodes prediction N Itzhak, A Nagori, E Lior, M Schvetz, R Lodha, T Sethi, R Moskovitch Artificial Intelligence in Medicine: 18th International Conference on …, 2020 | 16 | 2020 |
| Genomic surveillance of COVID-19 variants with language models and machine learning S Nagpal, R Pal, Ashima, A Tyagi, S Tripathi, A Nagori, S Ahmad, ... Frontiers in genetics 13, 858252, 2022 | 15 | 2022 |
| Genetic variations in olfactory receptor gene OR2AG2 in a large multigenerational family with asthma S Chakraborty, P Dakle, A Sinha, S Vishweswaraiah, A Nagori, ... Scientific reports 9 (1), 19029, 2019 | 15 | 2019 |
| Validating the Tele-diagnostic Potential of Affordable Thermography in a Big-data Data-enabled ICU T Sethi, A Nagori, A Bhatnagar, P Gupta, R Fletcher, R Lodha Proceedings of the Special Collection on eGovernment Innovations in India, 64-69, 2017 | 14 | 2017 |
| Interpretable artificial intelligence: Closing the adoption gap in healthcare T Sethi, A Kalia, A Sharma, A Nagori Artificial Intelligence in Precision Health, 3-29, 2020 | 13 | 2020 |
| Estimating the impact of health systems factors on antimicrobial resistance in priority pathogens R Awasthi, V Rakholia, S Agrawal, LS Dhingra, A Nagori, H Kaur, T Sethi Journal of Global Antimicrobial Resistance 30, 133-142, 2022 | 9 | 2022 |
| 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 |
| Predicting emerging themes in rapidly expanding COVID-19 literature with dynamic word embedding networks and machine learning R Pal, H Chopra, R Awasthi, H Bandhey, A Nagori, A Gulati, ... medRxiv, 2021.01. 14.21249855, 2021 | 6 | 2021 |
| 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 |
| Stewarding antibiotic stewardship in intensive care units with Bayesian artificial intelligence T Sethi, S Maheshwari, A Nagori, R Lodha Wellcome Open Research 3, 73, 2018 | 5 | 2018 |
| Air pollution and its effects on emergency room visits in tertiary respiratory care centers in Delhi, India R Kumar, P Mrigpuri, R Sarin, JK Saini, R Yadav, A Nagori, SK Kabra, ... Monaldi Archives for Chest Disease 94 (1), 2024 | 3 | 2024 |
| Predicting emerging themes in rapidly expanding COVID-19 literature with unsupervised word embeddings and machine learning: evidence-based study R Pal, H Chopra, R Awasthi, H Bandhey, A Nagori, T Sethi Journal of medical Internet research 24 (11), e34067, 2022 | 3 | 2022 |
| CovidNLP: A Web Application for Distilling Systemic Implications of COVID-19 Pandemic with Natural Language Processing, MedRxiv.(2020) 2020.04. 25.20079129 R Awasthi, R Pal, P Singh, A Nagori, S Reddy, A Gulati, P Kumaraguru, ... Online only article with doi: doi: https://doi. org/10.1101/2020.04 25, 0 | 3 | |
| Global generalisability of AI-driven COVID-19 vaccination policies: a cross-sectional observational study R Awasthi, A Nagori, B Nasri medRxiv, 2023.01. 31.23285300, 2023 | 2 | 2023 |
| Geographic information system-based mapping of air pollution & emergency room visits of patients for acute respiratory symptoms in Delhi, India (March 2018-February 2019) R Yadav, A Nagori, A Mukherjee, V Singh, R Lodha, SK Kabra, G Yadav, ... Indian Journal of Medical Research 156 (4&5), 648-658, 2022 | 2 | 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 |
Tavpritesh SethiAssociate Professor in Computational Biology, Indraprastha Institute of Information Technology在 iiitd.ac.in 的电子邮件经过验证
