يعرض 1 - 4 نتائج من 4 نتيجة بحث عن '"Srikanth Boligarla"', وقت الاستعلام: 0.36s تنقيح النتائج
  1. 1
    Academic Journal
    Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter

    المؤلفون: Srikanth Boligarla, Elda Kokoè Elolo Laison, Jiaxin Li, Raja Mahadevan, Austen Ng, Yangming Lin, Mamadou Yamar Thioub, Bruce Huang, Mohamed Hamza Ibrahim, Bouchra Nasri

    المصدر: BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-12 (2023)

    مصطلحات موضوعية: Lyme disease, Twitter, BERT, Incidence Rate, Computer applications to medicine. Medical informatics, R858-859.7

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1472-6947

    URL الوصول: https://doaj.org/article/d90c2aa56e4b427e87201154ab283500

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  2. 2
    Academic Journal
    Identifying Potential Lyme Disease Cases Using Self-Reported Worldwide Tweets: Deep Learning Modeling Approach Enhanced With Sentimental Words Through Emojis

    المؤلفون: Elda Kokoe Elolo Laison, Mohamed Hamza Ibrahim, Srikanth Boligarla, Jiaxin Li, Raja Mahadevan, Austen Ng, Venkataraman Muthuramalingam, Wee Yi Lee, Yijun Yin, Bouchra R Nasri

    المصدر: Journal of Medical Internet Research, Vol 25, p e47014 (2023)

    مصطلحات موضوعية: Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270

    وصف الملف: electronic resource

    Relation: https://www.jmir.org/2023/1/e47014; https://doaj.org/toc/1438-8871

    URL الوصول: https://doaj.org/article/431d8309095f44f49c24162e5d2fe156

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  3. 3
    Exploiting Self-reported worldwide Tweets for Identifying Potential Lyme Disease Cases Using Deep Learning Models enhanced by sentimental words through emojis. (Preprint)

    المؤلفون: Elda K. E. Laison, Mohamed Hamza Ibrahim, Srikanth Boligarla, Jiaxin Li, Raja Mahadevan, Austen Ng, Venkataraman Muthuramalingam, Jack Wee Yi Lee, Yijun Yin, Bouchra Nasri

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c0af40b373f3fa71198ae128c667ed1e
    https://doi.org/10.2196/preprints.47014

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  4. 4
    Leveraging Machine Learning Approaches for Predicting Potential Lyme Disease Cases and Incidence Rates in United States Using Twitter

    المؤلفون: Srikanth Boligarla, Elda Kokoè Elolo Laison, Jiaxin Fiona Li, Raja Mahadevan, Austen Ng, Yangming Lin, Mamadou Yamar Thioub, Bruce Huang, Mohamed Hamza Ibrahim, Bouchra Nasri

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::93e26ec976bbdab794f4cc903f1cb229
    https://doi.org/10.21203/rs.3.rs-2136402/v1

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