Use of Large Language Models to Assess the Likelihood of Epidemics From the Content of Tweets: Infodemiology Study

• Main Authors: Michael S Deiner (Author), Natalie A Deiner (Author), Vagelis Hristidis (Author), Stephen D McLeod (Author), Thuy Doan (Author), Thomas M Lietman (Author), Travis C Porco (Author)
• 格式: 圖書
• 出版: JMIR Publications, 2024-03-01T00:00:00Z.
• 主題: article
• 在線閱讀: Connect to this object online.

BackgroundPrevious work suggests that Google searches could be useful in identifying conjunctivitis epidemics. Content-based assessment of social media content may provide additional value in serving as early indicators of conjunctivitis and other systemic infectious diseases. ObjectiveWe investigat...