Hasil Pencarian - Tavpritesh Sethi

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  1. 1
    Early prediction of hypothermia in pediatric intensive care units using machine learning

    Early prediction of hypothermia in pediatric intensive care units using machine learning oleh Pradeep Singh, Aditya Nagori, Aditya Nagori, Aditya Nagori, Rakesh Lodha, Tavpritesh Sethi, Tavpritesh Sethi

    Diterbitkan 2022-09-01
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  2. 2
    Emerging trends in antimicrobial resistance in bloodstream infections: multicentric longitudinal study in India (2017–2022)Research in context

    Emerging trends in antimicrobial resistance in bloodstream infections: multicentric longitudinal study in India (2017–2022)Research in context oleh Jasmine Kaur, Harpreet Singh, Tavpritesh Sethi

    Diterbitkan 2024-07-01
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  3. 3
    Early Prediction of Hemodynamic Shock in Pediatric Intensive Care Units With Deep Learning on Thermal Videos

    Early Prediction of Hemodynamic Shock in Pediatric Intensive Care Units With Deep Learning on Thermal Videos oleh Vanshika Vats, Aditya Nagori, Aditya Nagori, Aditya Nagori, Pradeep Singh, Raman Dutt, Harsh Bandhey, Mahika Wason, Rakesh Lodha, Tavpritesh Sethi, Tavpritesh Sethi

    Diterbitkan 2022-07-01
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  4. 4
    Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study

    Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study oleh Harshita Chopra, Aniket Vashishtha, Ridam Pal, Ananya Tyagi, Tavpritesh Sethi

    Diterbitkan 2023-05-01
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  5. 5
    Genomic Surveillance of COVID-19 Variants With Language Models and Machine Learning

    Genomic Surveillance of COVID-19 Variants With Language Models and Machine Learning oleh Sargun Nagpal, Ridam Pal, Ashima, Ananya Tyagi, Sadhana Tripathi, Aditya Nagori, Saad Ahmad, Hara Prasad Mishra, Rishabh Malhotra, Rintu Kutum, Rintu Kutum, Tavpritesh Sethi, Tavpritesh Sethi

    Diterbitkan 2022-04-01
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  6. 6
    Predicting Emerging Themes in Rapidly Expanding COVID-19 Literature With Unsupervised Word Embeddings and Machine Learning: Evidence-Based Study

    Predicting Emerging Themes in Rapidly Expanding COVID-19 Literature With Unsupervised Word Embeddings and Machine Learning: Evidence-Based Study oleh Ridam Pal, Harshita Chopra, Raghav Awasthi, Harsh Bandhey, Aditya Nagori, Tavpritesh Sethi

    Diterbitkan 2022-11-01
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  7. 7
    COVID-19 Mask Usage and Social Distancing in Social Media Images: Large-scale Deep Learning Analysis

    COVID-19 Mask Usage and Social Distancing in Social Media Images: Large-scale Deep Learning Analysis oleh Asmit Kumar Singh, Paras Mehan, Divyanshu Sharma, Rohan Pandey, Tavpritesh Sethi, Ponnurangam Kumaraguru

    Diterbitkan 2022-01-01
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  8. 8
    Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19

    Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19 oleh Gunjan Arora, Jayadev Joshi, Rahul Shubhra Mandal, Nitisha Shrivastava, Richa Virmani, Tavpritesh Sethi

    Diterbitkan 2021-08-01
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  9. 9
    Psychometric Analysis and Coupling of Emotions Between State Bulletins and Twitter in India During COVID-19 Infodemic

    Psychometric Analysis and Coupling of Emotions Between State Bulletins and Twitter in India During COVID-19 Infodemic oleh Palash Aggrawal, Baani Leen Kaur Jolly, Amogh Gulati, Amarjit Sethi, Ponnurangam Kumaraguru, Tavpritesh Sethi

    Diterbitkan 2021-09-01
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  10. 10
    Estimating the impact of health systems factors on antimicrobial resistance in priority pathogens

    Estimating the impact of health systems factors on antimicrobial resistance in priority pathogens oleh Raghav Awasthi, Vaidehi Rakholia, Samprati Agrawal, Lovedeep Singh Dhingra, Aditya Nagori, Harleen Kaur, Tavpritesh Sethi

    Diterbitkan 2022-09-01
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  11. 11
    Correction: Immune Response to Dengue Virus Infection in Pediatric Patients in New Delhi, India-Association of Viremia, Inflammatory Mediators and Monocytes with Disease Severity.

    Correction: Immune Response to Dengue Virus Infection in Pediatric Patients in New Delhi, India-Association of Viremia, Inflammatory Mediators and Monocytes with Disease Severity. oleh Mohit Singla, Meenakshi Kar, Tavpritesh Sethi, Sushil K Kabra, Rakesh Lodha, Anmol Chandele, Guruprasad R Medigeshi

    Diterbitkan 2016-04-01
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  12. 12
    Immune Response to Dengue Virus Infection in Pediatric Patients in New Delhi, India--Association of Viremia, Inflammatory Mediators and Monocytes with Disease Severity.

    Immune Response to Dengue Virus Infection in Pediatric Patients in New Delhi, India--Association of Viremia, Inflammatory Mediators and Monocytes with Disease Severity. oleh Mohit Singla, Meenakshi Kar, Tavpritesh Sethi, Sushil K Kabra, Rakesh Lodha, Anmol Chandele, Guruprasad R Medigeshi

    Diterbitkan 2016-03-01
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  13. 13
    Exhaled breath condensate metabolome clusters for endotype discovery in asthma

    Exhaled breath condensate metabolome clusters for endotype discovery in asthma oleh Anirban Sinha, Koundinya Desiraju, Kunal Aggarwal, Rintu Kutum, Siddhartha Roy, Rakesh Lodha, S. K. Kabra, Balaram Ghosh, Tavpritesh Sethi, Anurag Agrawal

    Diterbitkan 2017-12-01
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  14. 14
    Establishment of Elevated Serum Levels of IL-10, IL-8 and TNF-β as Potential Peripheral Blood Biomarkers in Tubercular Lymphadenitis: A Prospective Observational Cohort Study.

    Establishment of Elevated Serum Levels of IL-10, IL-8 and TNF-β as Potential Peripheral Blood Biomarkers in Tubercular Lymphadenitis: A Prospective Observational Cohort Study. oleh Abhimanyu, Mridula Bose, Mandira Varma-Basil, Ashima Jain, Tavpritesh Sethi, Pradeep Kumar Tiwari, Anurag Agrawal, Jayant Nagesh Banavaliker, Kumar Tapas Bhowmick

    Diterbitkan 2016-01-01
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  15. 15
    Multifaceted remodeling by vitamin C boosts sensitivity of Mycobacterium tuberculosis subpopulations to combination treatment by anti-tubercular drugs

    Multifaceted remodeling by vitamin C boosts sensitivity of Mycobacterium tuberculosis subpopulations to combination treatment by anti-tubercular drugs oleh Kriti Sikri, Priyanka Duggal, Chanchal Kumar, Sakshi Dhingra Batra, Atul Vashist, Ashima Bhaskar, Kritika Tripathi, Tavpritesh Sethi, Amit Singh, Jaya Sivaswami Tyagi

    Diterbitkan 2018-05-01
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  16. 16
    Big Data Analysis of Traditional Knowledge-based Ayurveda Medicine

    Big Data Analysis of Traditional Knowledge-based Ayurveda Medicine oleh Harpreet Singh, Sapna Bhargava, Sailesh Ganeshan, Ravneet Kaur, Tavpritesh Sethi, Mukesh Sharma, Madhusudan Chauhan, Neerja Chauhan, Rishipal Chauhan, Partap Chauhan, Samir K. Brahmachari

    Diterbitkan 2018-10-01
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  17. 17
    Symptoms and medical conditions in 204 912 patients visiting primary health-care practitioners in India: a 1-day point prevalence study (the POSEIDON study)

    Symptoms and medical conditions in 204 912 patients visiting primary health-care practitioners in India: a 1-day point prevalence study (the POSEIDON study) oleh Dr. Sundeep Salvi, MD, Komalkirti Apte, MBBS, Sapna Madas, MSc, Monica Barne, MBBS, Sushmeeta Chhowala, MSc, Tavpritesh Sethi, PhD, Kunal Aggarwal, BTech, Anurag Agrawal, MD, Jaideep Gogtay, MD

    Diterbitkan 2015-12-01
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  18. 18
    Recapitulation of Ayurveda constitution types by machine learning of phenotypic traits.

    Recapitulation of Ayurveda constitution types by machine learning of phenotypic traits. oleh Pradeep Tiwari, Rintu Kutum, Tavpritesh Sethi, Ankita Shrivastava, Bhushan Girase, Shilpi Aggarwal, Rutuja Patil, Dhiraj Agarwal, Pramod Gautam, Anurag Agrawal, Debasis Dash, Saurabh Ghosh, Sanjay Juvekar, Mitali Mukerji, Bhavana Prasher

    Diterbitkan 2017-01-01
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  19. 19
    Heart rate variability during head‐up tilt shows inter‐individual differences among healthy individuals of extreme Prakriti types

    Heart rate variability during head‐up tilt shows inter‐individual differences among healthy individuals of extreme Prakriti types oleh Ritu Rani, Prathiban Rengarajan, Tavpritesh Sethi, Bharat Krushna Khuntia, Arvind Kumar, Deep Shikha Punera, Deepika Singh, Bhushan Girase, Ankita Shrivastava, Sanjay K. Juvekar, Bala Pesala, Mitali Mukerji, Kishore Kumar Deepak, Bhavana Prasher

    Diterbitkan 2022-09-01
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  20. 20
    A machine learning application for raising WASH awareness in the times of COVID-19 pandemic

    A machine learning application for raising WASH awareness in the times of COVID-19 pandemic oleh Rohan Pandey, Vaibhav Gautam, Ridam Pal, Harsh Bandhey, Lovedeep Singh Dhingra, Vihaan Misra, Himanshu Sharma, Chirag Jain, Kanav Bhagat, Arushi, Lajjaben Patel, Mudit Agarwal, Samprati Agrawal, Rishabh Jalan, Akshat Wadhwa, Ayush Garg, Yashwin Agrawal, Bhavika Rana, Ponnurangam Kumaraguru, Tavpritesh Sethi

    Diterbitkan 2022-01-01
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