{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["27"],"submitter":["Huang W"],"pubmed_abstract":["<h4>Background</h4>Influenza in mainland China results in a large number of outpatient and emergency visits related to influenza-like illness (ILI) annually. While deep learning models show promise for improving influenza forecasting, their technical complexity remains a barrier to practical implementation. Large language models, such as ChatGPT, offer the potential to reduce these barriers by supporting automated code generation, debugging, and model optimization.<h4>Objective</h4>This study aimed to evaluate the predictive performance of several deep learning models for ILI positive rates in mainland China and to explore the auxiliary role of ChatGPT-assisted development in facilitating model implementation.<h4>Methods</h4>ILI positivity rate data spanning from 2014 to 2024 were obtained"],"journal":["Journal of medical Internet research"],"pagination":["e74423"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12227151"],"repository":["biostudies-literature"],"pubmed_title":["ChatGPT-Assisted Deep Learning Models for Influenza-Like Illness Prediction in Mainland China: Time Series Analysis."],"pmcid":["PMC12227151"],"pubmed_authors":["Jiang J","Lai J","Xie X","Zhan B","Zhang M","Wei W","Ye L","Liang H","Huang W","He X","Lai S","Chen R","Yuan Z"],"additional_accession":[]},"is_claimable":false,"name":"ChatGPT-Assisted Deep Learning Models for Influenza-Like Illness Prediction in Mainland China: Time Series Analysis.","description":"<h4>Background</h4>Influenza in mainland China results in a large number of outpatient and emergency visits related to influenza-like illness (ILI) annually. While deep learning models show promise for improving influenza forecasting, their technical complexity remains a barrier to practical implementation. Large language models, such as ChatGPT, offer the potential to reduce these barriers by supporting automated code generation, debugging, and model optimization.<h4>Objective</h4>This study aimed to evaluate the predictive performance of several deep learning models for ILI positive rates in mainland China and to explore the auxiliary role of ChatGPT-assisted development in facilitating model implementation.<h4>Methods</h4>ILI positivity rate data spanning from 2014 to 2024 were obtained","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jun","modification":"2026-03-31T11:10:43.569Z","creation":"2025-07-28T03:04:19.328Z"},"accession":"S-EPMC12227151","cross_references":{"pubmed":["40577658"],"doi":["10.2196/74423"]}}