Hasil Pencarian - Harsh Bandhey

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  1. 1
    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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  2. 2
    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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  3. 3
    Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions

    Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions oleh Chenyu Li, Danielle L. Mowery, Xiaomeng Ma, Rui Yang, Ugurcan Vurgun, Sy Hwang, Hayoung K. Donnelly, Harsh Bandhey, Yalini Senathirajah, Shyam Visweswaran, Eugene M. Sadhu, Zohaib Akhtar, Emily Getzen, Philip J. Freda, Qi Long, Michael J. Becich

    Diterbitkan 2024-01-01
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  4. 4
    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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