{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["11(1)"],"submitter":["Wang X"],"pubmed_abstract":["Cognitive impairments are generally observed in patients with schizophrenia. However, it is unclear whether neurocognitive dysfunction can predict the efficacy of antipsychotics for first-episode schizophrenia (FES). Machine learning methods provide a relatively unbiased approach when evaluating heterogeneous data, especially when building multifactor prediction models. This study conducted a secondary analysis based on the Chinese FES Trial (CNFEST), which was a 1-year study involving a randomized controlled trial for the first eight weeks followed by a 48-week open-label observation. The current study aimed to build a prediction model of eight-week antipsychotic response based on baseline clinical and demographic features. Six machine learning algorithms, including random forest, eXtreme"],"journal":["Schizophrenia (Heidelberg, Germany)"],"pagination":["105"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12284124"],"repository":["biostudies-literature"],"pubmed_title":["Neurocognition as a major predictor of 8-week response to antipsychotics for drug-naive first-episode schizophrenia using machine learning."],"pmcid":["PMC12284124"],"pubmed_authors":["Yin X","Zheng Y","Guo X","Hu W","Wang X","Ji Y","Huang B","Pu C","Yu X","Gao T"],"additional_accession":[]},"is_claimable":false,"name":"Neurocognition as a major predictor of 8-week response to antipsychotics for drug-naive first-episode schizophrenia using machine learning.","description":"Cognitive impairments are generally observed in patients with schizophrenia. However, it is unclear whether neurocognitive dysfunction can predict the efficacy of antipsychotics for first-episode schizophrenia (FES). Machine learning methods provide a relatively unbiased approach when evaluating heterogeneous data, especially when building multifactor prediction models. This study conducted a secondary analysis based on the Chinese FES Trial (CNFEST), which was a 1-year study involving a randomized controlled trial for the first eight weeks followed by a 48-week open-label observation. The current study aimed to build a prediction model of eight-week antipsychotic response based on baseline clinical and demographic features. Six machine learning algorithms, including random forest, eXtreme","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jul","modification":"2026-07-15T06:53:16.895Z","creation":"2025-08-16T03:05:44.686Z"},"accession":"S-EPMC12284124","cross_references":{"pubmed":["40695829"],"doi":["10.1038/s41537-025-00640-y"]}}