Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter von Boligarla, Srikanth, Laison, Elda Kokoè Elolo, Li, Jiaxin, Mahadevan, Raja, Ng, Austen, Lin, Yangming, Thioub, Mamadou Yamar, Huang, Bruce, Ibrahim, Mohamed Hamza, Nasri, Bouchra

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Identifying Potential Lyme Disease Cases Using Self-Reported Worldwide Tweets: Deep Learning Modeling Approach Enhanced With Sentimental Words Through Emojis von Laison, Elda Kokoe Elolo, Hamza Ibrahim, Mohamed, Boligarla, Srikanth, Li, Jiaxin, Mahadevan, Raja, Ng, Austen, Muthuramalingam, Venkataraman, Lee, Wee Yi, Yin, Yijun, Nasri, Bouchra R

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