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

• Main Authors: Elda Kokoe Elolo Laison (Author), Mohamed Hamza Ibrahim (Author), Srikanth Boligarla (Author), Jiaxin Li (Author), Raja Mahadevan (Author), Austen Ng (Author), Venkataraman Muthuramalingam (Author), Wee Yi Lee (Author), Yijun Yin (Author), Bouchra R Nasri (Author)
• Format: Book
• Published: JMIR Publications, 2023-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundLyme disease is among the most reported tick-borne diseases worldwide, making it a major ongoing public health concern. An effective Lyme disease case reporting system depends on timely diagnosis and reporting by health care professionals, and accurate laboratory testing and interpretation...