3 papers
cs.LG2023
Exploring the relationship between response time sequence in scale answering process and severity of insomnia: a machine learning approach
Zhao Su, Rongxun Liu, Keyin Zhou +8
Objectives: The study aims to investigate the relationship between insomnia and response time. Additionally, it aims to develop a machine learning model to predict the presence of…
cs.SD2023
Attention-Based Acoustic Feature Fusion Network for Depression Detection
Xiao Xu, Yang Wang, Xinru Wei +2
Depression, a common mental disorder, significantly influences individuals and imposes considerable societal impacts. The complexity and heterogeneity of the disorder necessitate p…
q-bio.MN2023
NetMoST: A network-based machine learning approach for subtyping schizophrenia using polygenic SNP allele biomarkers
Xinru Wei, Shuai Dong, Zhao Su +7
Subtyping neuropsychiatric disorders like schizophrenia is essential for improving the diagnosis and treatment of complex diseases. Subtyping schizophrenia is challenging because i…