@article{sethi2018stewarding,
  title={Stewarding antibiotic stewardship in intensive care units with Bayesian artificial intelligence},
  author={Sethi, Tavpritesh and Maheshwari, Shubham and Nagori, Aditya and Lodha, Rakesh},
  journal={Wellcome Open Research},
  volume={3},
  pages={73},
  year={2018},
  publisher={F1000 Research Limited London, UK}
}

@article{sethigraphical,
  title={Graphical Modeling Driven Policy Insights for Household Air Pollution: Insights from 204,912 Patients’ POSEIDON Study},
  author={Sethi, Tavpritesh and Agrawal, Anurag and Nagori, Aditya and Angraal, Suveen and Salvi, Sundeep}
}

@incollection{sethi2017validating,
  title={Validating the Tele-diagnostic Potential of Affordable Thermography in a Big-data Data-enabled ICU},
  author={Sethi, Tavpritesh and Nagori, Aditya and Bhatnagar, Ambika and Gupta, Priyanka and Fletcher, Richard and Lodha, Rakesh},
  booktitle={Proceedings of the Special Collection on eGovernment Innovations in India},
  pages={64--69},
  year={2017}
}

@inproceedings{bhatnagar2017leveraging,
  title={Leveraging Thermal Patterns in Children for Telemedicine: Role of Affordable Imagers, Smartphones and Data-analytics},
  author={Bhatnagar, Ambika and Nagori, Aditya and Fletcher, Richard and Lodha, Rakesh and Sethi, Tavpritesh},
  booktitle={Proceedings of the 10th International Conference on Theory and Practice of Electronic Governance},
  pages={588--589},
  year={2017}
}

@article{nagori2019predicting,
  title={Predicting hemodynamic shock from thermal images using machine learning},
  author={Nagori, Aditya and Dhingra, Lovedeep Singh and Bhatnagar, Ambika and Lodha, Rakesh and Sethi, Tavpritesh},
  journal={Scientific reports},
  volume={9},
  number={1},
  pages={91},
  year={2019},
  publisher={Nature Publishing Group UK London}
}

@article{chakraborty2019genetic,
  title={Genetic variations in olfactory receptor gene OR2AG2 in a large multigenerational family with asthma},
  author={Chakraborty, Samarpana and Dakle, Pushkar and Sinha, Anirban and Vishweswaraiah, Sangeetha and Nagori, Aditya and Salimath, Shivalingaswamy and Prakash, YS and Lodha, R and Kabra, SK and Ghosh, Balaram and others},
  journal={Scientific reports},
  volume={9},
  number={1},
  pages={19029},
  year={2019},
  publisher={Nature Publishing Group UK London}
}

@incollection{sethi2020interpretable,
  title={Interpretable artificial intelligence: Closing the adoption gap in healthcare},
  author={Sethi, Tavpritesh and Kalia, Anushtha and Sharma, Arjun and Nagori, Aditya},
  booktitle={Artificial Intelligence in Precision Health},
  pages={3--29},
  year={2020},
  publisher={Elsevier}
}

@article{awasthi2020covidnlp,
  title={CovidNLP: A web application for distilling systemic implications of COVID-19 pandemic with natural language processing},
  author={Awasthi, Raghav and Pal, Ridam and Singh, Pradeep and Nagori, Aditya and Reddy, Suryatej and Gulati, Amogh and Kumaraguru, Ponnurangam and Sethi, Tavpritesh},
  journal={MedRxiv},
  pages={2020--04},
  year={2020},
  publisher={Cold Spring Harbor Laboratory Press}
}

@phdthesis{gupta2017assessment,
  title={Assessment and Improvement of predictive value of complexity based features for sepsis prediction},
  author={Gupta, Priyanka and Sethi, Tavpritesh and Goyal, Vikram},
  year={2017}
}

@phdthesis{kaur2017systems,
  title={A systems approach to understand the ICU Co-morbidome},
  author={Kaur, Dilraj and Sethi, Tavpritesh and Ramachandran, Srinivasan},
  year={2017}
}

@article{nagori2020less,
  title={Less Wrong COVID-19 Projections With Interactive Assumptions},
  author={Nagori, Aditya and Awasthi, Raghav and Joshi, Vineet and Vyalla, Suryatej Reddy and Jarodia, Akhil and Gupta, Chandan and Gulati, Amogh and Bandhey, Harsh and Kumaraguru, Ponnurangam and Sethi, Tavpritesh},
  journal={medRxiv},
  pages={2020--06},
  year={2020},
  publisher={Cold Spring Harbor Laboratory Press}
}

@article{awasthi2020temperature,
  title={Temperature and humidity do not influence global covid-19 incidence as inferred from causal models},
  author={Awasthi, Raghav and Nagori, Aditya and Singh, Pradeep and Pal, Ridam and Joshi, Vineet and Sethi, Tavpritesh},
  journal={MedRxiv},
  pages={2020--06},
  year={2020},
  publisher={Cold Spring Harbor Laboratory Press}
}

@article{awasthi2022vacsim,
  title={VacSIM: Learning effective strategies for COVID-19 vaccine distribution using reinforcement learning},
  author={Awasthi, Raghav and Guliani, Keerat Kaur and Khan, Saif Ahmad and Vashishtha, Aniket and Gill, Mehrab Singh and Bhatt, Arshita and Nagori, Aditya and Gupta, Aniket and Kumaraguru, Ponnurangam and Sethi, Tavpritesh},
  journal={Intelligence-Based Medicine},
  volume={6},
  pages={100060},
  year={2022},
  publisher={Elsevier}
}

@inproceedings{itzhak2020acute,
  title={Acute hypertensive episodes prediction},
  author={Itzhak, Nevo and Nagori, Aditya and Lior, Edo and Schvetz, Maya and Lodha, Rakesh and Sethi, Tavpritesh and Moskovitch, Robert},
  booktitle={Artificial Intelligence in Medicine: 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25--28, 2020, Proceedings 18},
  pages={392--402},
  year={2020},
  organization={Springer International Publishing}
}

@article{nagori2018novel,
  title={A Novel Thermal Imaging Approach to Computational Prediction of Shock in Pediatric ICU: Results from a Tertiary Care Hospital in India},
  author={Nagori, Aditya and Bhatnagar, Ambika and Dhingra, Lovedeep and Lodha, Rakesh and Sethi, Tavpritesh and others},
  journal={Journal of Pediatric Critical Care},
  volume={5},
  number={7},
  pages={89},
  year={2018},
  publisher={Medknow Publications}
}

@misc{nagori2020early,
  title={Early prediction of childhood asthma exacerbations through a combination of statistical and machine learning approaches},
  author={Nagori, Aditya and Sethi, Tavpritesh and Kabra, Sushil Kumar and Lodha, Rakesh and Agrawal, Anurag},
  year={2020},
  publisher={European Respiratory Society}
}

@article{vats2020early,
  title={Early Prediction of Hemodynamic Shock in the Intensive Care Units with Deep Learning on Thermal Videos},
  author={Vats, Vanshika and Nagori, Aditya and Singh, Pradeep and Dutt, Raman and Bandhey, Harsh and Wason, Mahika and Lodha, Rakesh and Sethi, Tavpritesh},
  journal={medRxiv},
  pages={2020--11},
  year={2020},
  publisher={Cold Spring Harbor Laboratory Press}
}

@article{yadav2020effects,
  title={Effects of ambient air pollution on emergency room visits of children for acute respiratory symptoms},
  author={Yadav, Rashmi and Nagori, Aditya and Mukherjee, Aparna and Singh, Varinder and Lodha, Rakesh and Kabra, Sushil Kumar and Air pollution study group and Yadav, Geetika and Saini, Jitendra Kumar and Singhal, Kamal K and others},
  journal={medRxiv},
  pages={2020--11},
  year={2020},
  publisher={Cold Spring Harbor Laboratory Press}
}

@misc{nagori2021generalized,
  title={Generalized prediction of shock in intensive care units using deep learning},
  author={Nagori, Aditya and Kalia, Anushtha and Sharma, Arjun and Singh, Pradeep and Bandhey, Harsh and Awasthi, R and others},
  year={2021},
  publisher={MedRxiv}
}

@article{pal2021predicting,
  title={Predicting emerging themes in rapidly expanding COVID-19 literature with dynamic word embedding networks and machine learning},
  author={Pal, Ridam and Chopra, Harshita and Awasthi, Raghav and Bandhey, Harsh and Nagori, Aditya and Gulati, Amogh and Kumaraguru, Ponnurangam and Sethi, Tavpritesh},
  journal={medRxiv},
  pages={2021--01},
  year={2021},
  publisher={Cold Spring Harbor Laboratory Press}
}

@article{yadav2021effects,
  title={Effects of ambient air pollution on emergency room visits of children for acute respiratory symptoms in Delhi, India},
  author={Yadav, Rashmi and Nagori, Aditya and Mukherjee, Aparna and Singh, Varinder and Lodha, Rakesh and Kabra, Sushil Kumar and Yadav, Geetika and Saini, Jitendra Kumar and Singhal, Kamal Kumar and Jat, Kana Ram and others},
  journal={Environmental Science and Pollution Research},
  volume={28},
  pages={45853--45866},
  year={2021},
  publisher={Springer Berlin Heidelberg}
}

@article{nagpal2022genomic,
  title={Genomic surveillance of COVID-19 variants with language models and machine learning},
  author={Nagpal, Sargun and Pal, Ridam and Ashima and Tyagi, Ananya and Tripathi, Sadhana and Nagori, Aditya and Ahmad, Saad and Mishra, Hara Prasad and Malhotra, Rishabh and Kutum, Rintu and others},
  journal={Frontiers in Genetics},
  volume={13},
  pages={858252},
  year={2022},
  publisher={Frontiers Media SA}
}

@article{awasthi2021capturing,
  title={Capturing Global, Predicting Local for Controlling Antimicrobial Resistance: a retrospective multivariable analysis},
  author={Awasthi, Raghav and Rakholia, Vaidehi and Agarwal, Samprati and Dhingra, Lovedeep Singh and Nagori, Aditya and Sethi, Tavpritesh},
  journal={medRxiv},
  pages={2021--05},
  year={2021},
  publisher={Cold Spring Harbor Laboratory Press}
}

@article{nagori2021generalized,
  title={Generalized Prediction of Hemodynamic Shock in Intensive Care Units},
  author={Nagori, Aditya and Singh, Pradeep and Firdos, Sameena and Vats, Vanshika and Gupta, Arushi and Bandhey, Harsh and Kalia, Anushtha and Sharma, Arjun and Ailavadi, Prakriti and Awasthi, Raghav and others},
  journal={medRxiv},
  pages={2021--01},
  year={2021},
  publisher={Cold Spring Harbor Laboratory Press}
}

@article{priya2022physical,
  title={Physical Growth and Its Determinants in Indian Children with Down Syndrome, from 3 Months to 5 Years of Age},
  author={Priya, Mandula Phani and Gupta, Neerja and Nagori, Aditya and Lodha, Rakesh and Jain, Vandana and Pandey, RM and Kabra, Madhulika},
  journal={Indian Journal of Pediatrics},
  volume={89},
  number={2},
  pages={141--147},
  year={2022},
  publisher={Springer India}
}

@article{nagpal2022genomic,
  title={Genomic Surveillance of COVID-19 Variants With Language Models and Machine Learning. Front. Genet. 13: 858252. doi: 10.3389/fgene. 2022.858252},
  author={Nagpal, S and Pal, R and Ashima, Tyagi A and Tripathi, S and Nagori, A and Ahmad, S and Mishra, HP and Malhotra, R and Kutum, R and Sethi, T},
  journal={Frontiers in Genetics| www. frontiersin. org},
  volume={13},
  year={2022}
}

@article{awasthi2022estimating,
  title={Estimating the impact of health systems factors on antimicrobial resistance in priority pathogens},
  author={Awasthi, Raghav and Rakholia, Vaidehi and Agrawal, Samprati and Dhingra, Lovedeep Singh and Nagori, Aditya and Kaur, Harleen and Sethi, Tavpritesh},
  journal={Journal of Global Antimicrobial Resistance},
  volume={30},
  pages={133--142},
  year={2022},
  publisher={Elsevier}
}

@article{awasthivacsim,
  title={VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning (preprint)},
  author={Awasthi, Raghav and Guliani, Keerat Kaur and Khan, Saif Ahmad and Vashishtha, Aniket and Gill, Mehrab Singh and Bhatt, Arshita and Nagori, Aditya and Gupta, Aniket and Kumaraguru, Ponnurangam and Sethi, Tavpritesh}
}

@article{vatsearly,
  title={Early Prediction of Hemodynamic Shock in the ICU with Deep Learning on Thermal Videos},
  author={Vats, Vanshika and Singh, Pradeep and Nagori, Aditya and Dutt, Raman and Bandhey, Harsh and Wason, Mahika and Lodha, Rakesh and Sethi, Tavpritesh}
}

@article{vats2022early,
  title={Early Prediction of Hemodynamic Shock in Pediatric Intensive Care Units With Deep Learning on Thermal Videos},
  author={Vats, Vanshika and Nagori, Aditya and Singh, Pradeep and Dutt, Raman and Bandhey, Harsh and Wason, Mahika and Lodha, Rakesh and Sethi, Tavpritesh},
  journal={Frontiers in Physiology},
  volume={13},
  pages={862411},
  year={2022},
  publisher={Frontiers}
}

@article{singh2022early,
  title={Early prediction of hypothermia in pediatric intensive care units using machine learning},
  author={Singh, Pradeep and Nagori, Aditya and Lodha, Rakesh and Sethi, Tavpritesh},
  journal={Frontiers in Physiology},
  volume={13},
  pages={921884},
  year={2022},
  publisher={Frontiers Media SA}
}

@article{pal2022predicting,
  title={Predicting Emerging Themes in Rapidly Expanding COVID-19 Literature With Unsupervised Word Embeddings and Machine Learning: Evidence-Based Study},
  author={Pal, Ridam and Chopra, Harshita and Awasthi, Raghav and Bandhey, Harsh and Nagori, Aditya and Sethi, Tavpritesh},
  journal={Journal of medical Internet research},
  volume={24},
  number={11},
  pages={e34067},
  year={2022},
  publisher={JMIR Publications Toronto, Canada}
}

@article{awasthi2022health,
  title={Health and Policy Associations of Homelessness in the United States},
  author={Awasthi, Raghav and Saxena, Vibhor and Nagori, Aditya and Dhingra, Lovedeep Singh and Puntambekar, Varad and Sethi, Tavpritesh},
  journal={medRxiv},
  pages={2022--10},
  year={2022},
  publisher={Cold Spring Harbor Laboratory Press}
}

@article{nagoriprospectively,
  title={A Prospectively Validated Generalizable Model for Outcome Prognostication Using Shock Index in Intensive Care Units},
  author={Nagori, Aditya and Singh, Pradeep and Firdos, Sameena and Vats, Vanshika and Gupta, Arushi and Bandhey, Harsh and Kalia, Anushtha and Sharma, Arjun and Ailavadi, Prakriti and Awasthi, Raghav and others}
}

@article{kaur2022heart,
  title={Heart Rate Assessment in a Pediatric ICU with Non-Contact Infrared Thermography and Machine Learning},
  author={Kaur, Amandeep and Prajapati, Samyak and Singh, Pradeep and Nagori, Aditya and Lodha, Rakesh and Sethi, Tavpritesh},
  journal={medRxiv},
  pages={2022--11},
  year={2022},
  publisher={Cold Spring Harbor Laboratory Press}
}

@article{pal2022shockmodes,
  title={ShockModes: A Multimodal Model for Prognosticating Intensive Care Outcomes from Physician Notes and Vitals},
  author={Pal, Ridam and Patel, Shaswat and Bhatnagar, Akshala and Garg, Hardik and Singh, Pradeep and Soun, Ritesh and Agarwal, Aditya and Nagori, Aditya and Khanna, Ashish and Lodha, Rakesh and others},
  journal={medRxiv},
  pages={2022--12},
  year={2022},
  publisher={Cold Spring Harbor Laboratory Press}
}

@article{kaur5,
  title={5-Year Trends and Associations of Antimicrobial Resistance in Urinary Tract Infections in India (2017-2021): A Multi-Centric, Retrospective, Longitudinal Analysis},
  author={Kaur, Jasmine and Nagori, Aditya and Veeraraghavan, Balaji and Ohri, Vinod and Lodha, Rakesh and Collaborators, ICMR-AMR and Walia, Kamini and Singh, Harpreet and Sethi, Tavpritesh},
  journal={Kamini and Singh, Harpreet and Sethi, Tavpritesh},
  pages={2017--2021}
}

@article{liseroprevalence,
  title={Seroprevalence of antibodies to SARS-CoV-2 is particularly high in patient population with ocular surface diseases},
  author={Li, Shengjie and Qiu, Yichao and Tang, Li and Wang, Zhujian and Cao, Wenjun and Sun, Xinghuai and Yadav, Rashmi and Nagori, Aditya and Mukherjee, Aparna and Singh, Varinder and others}
}

@article{awasthi2023global,
  title={Global generalisability of AI-driven COVID-19 vaccination policies: a cross-sectional observational study},
  author={Awasthi, Raghav and Nagori, Aditya and Nasri, Bouchra},
  journal={medRxiv},
  pages={2023--01},
  year={2023},
  publisher={Cold Spring Harbor Laboratory Press}
}

@article{kumar2023air,
  title={Air pollution and its effects on emergency room visits in tertiary respiratory care centres in Delhi, India},
  author={Kumar, Raj and Mrigpuri, Parul and Sarin, Rohit and Saini, Jitender Kumar and Yadav, Rashmi and Nagori, Aditya and Kabra, Sushil Kumar and Mukherjee, Arpana and Yadav, Geetika},
  journal={Monaldi Archives for Chest Disease},
  year={2023}
}

@article{yadav2022geographic,
  title={Geographic information system-based mapping of air pollution \& emergency room visits of patients for acute respiratory symptoms in Delhi, India (March 2018-February 2019)},
  author={Yadav, Rashmi and Nagori, Aditya and Mukherjee, Aparna and Singh, Varinder and Lodha, Rakesh and Kabra, Sushil Kumar and Yadav, Geetika and Saini, Jitendra Kumar and Singhal, Kamal K and Jat, Kana Ram and others},
  journal={The Indian Journal of Medical Research},
  volume={156},
  number={4-5},
  pages={648},
  year={2022},
  publisher={Wolters Kluwer--Medknow Publications}
}

@article{awasthi2023bayesian,
  title={Bayesian network approach to develop generalisable predictive model for COVID-19 vaccine uptake},
  author={Awasthi, Raghav and Nagori, Aditya and Nasri, Bouchra},
  year={2023}
}

@article{awasthi2023managing,
  title={Managing the Infodemic: Leveraging Deep Learning to Evaluate the Maturity Level of AI-Based COVID-19 Publications for Knowledge Surveillance and Decision Support},
  author={Awasthi, Raghav and Nagori, Aditya and Mishra, Shreya and Mathur, Anya and Mathur, Piyush and Nasri, Bouchra},
  journal={medRxiv},
  pages={2023--06},
  year={2023},
  publisher={Cold Spring Harbor Laboratory Press}
}

@article{nagoricritical,
  title={Critical event prediction in critically ill patients and asthmatic children Leveraging artificial intelligence and domain expertise},
  author={Nagori, Aditya Kumar},
  publisher={Ghaziabad}
}

@article{r2023short,
  title={Short-term exposure to air pollution and emergency room visits for acute respiratory symptoms among adults},
  author={R Yadav, A Nagori, K Madan, R Lodha, SK Kabra},
  journal={International journal of tuberculosis and lung disease},
  volume={27},
  number={10},
  pages={761--765},
  year={2023}
}

@article{lokesh2023social,
  title={SOCIAL DETERMINANTS IN A LOW-INCOME POPULATION WITH HEART FAILURE},
  author={Lokesh, Nidhish and Nagori, Aditya and Keshvani, Neil and Pandey, Ambarish and Sumarsono, Andrew},
  journal={American Journal of Preventive Cardiology},
  volume={15},
  pages={100557},
  year={2023},
  publisher={Elsevier}
}