【作者单位】Affiliations 1 Clinical Department, Beijing Huilongguan Hospital, Beijing, China. 2 Laboratory of Brain Science and Intelligent Information Processing, School of Computer Science and Technology, Taiyuan Normal University, Jinzhong, China. 3 Psychiatry Research Center, Beijing Huilongguan Hospital, Bejing, China. 4 School of Chemical Engineering and Technology, Sun Yat-sen University, Zhuhai, China.
【年份】2024
【卷号】Vol.18
【页码】1452197
【ISSN】1662-5161
【关键词】first-episode schizophrenia high-order brain network features light GBM persistent homology random forest.
【摘要】 Introduction: A multimodal persistent topological feature extraction and classification method is proposed to enhance the recognition accuracy of first-episode schizophrenia patients. This approach addresses the limitations of traditional higher-orde...
