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Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter.
BMC Med Inform Decis Mak. 2023 Oct 16;23(1):217. doi: 10.1186/s12911-023-02315-z.
BMC Med Inform Decis Mak. 2023.
PMID: 37845666
Free PMC article.
Identifying Potential Lyme Disease Cases Using Self-Reported Worldwide Tweets: Deep Learning Modeling Approach Enhanced With Sentimental Words Through Emojis.
Laison EKE, Hamza Ibrahim M, Boligarla S, Li J, Mahadevan R, Ng A, Muthuramalingam V, Lee WY, Yin Y, Nasri BR.
Laison EKE, et al.
J Med Internet Res. 2023 Oct 16;25:e47014. doi: 10.2196/47014.
J Med Internet Res. 2023.
PMID: 37843893
Free PMC article.
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Models and data used to predict the abundance and distribution of Ixodes scapularis (blacklegged tick) in North America: a scoping review.
Sharma Y, Laison EKE, Philippsen T, Ma J, Kong J, Ghaemi S, Liu J, Hu F, Nasri B.
Sharma Y, et al. Among authors: laison eke.
Lancet Reg Health Am. 2024 Mar 7;32:100706. doi: 10.1016/j.lana.2024.100706. eCollection 2024 Apr.
Lancet Reg Health Am. 2024.
PMID: 38495312
Free PMC article.
Review.
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