Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/159257
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dc.contributor.authorXu, Shihaoen_US
dc.date.accessioned2022-06-14T08:26:46Z-
dc.date.available2022-06-14T08:26:46Z-
dc.date.issued2022-
dc.identifier.citationXu, S. (2022). Automated socio-cognitive assessment of patients with schizophrenia and depression. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/159257en_US
dc.identifier.urihttps://hdl.handle.net/10356/159257-
dc.description.abstractThis thesis analyzed the speech, facial expressions, and body movement recordings of schizophrenia and depression patients in two separate studies. The first study was conducted from 2014 to 2016, which included the recruitment of the cohort. The study was conducted with 58 patients with schizophrenia and 29 healthy controls over three sessions: at week 0, week 2, and week 12. The second study was conducted between 2017 and 2019 involving 50 patients with depression, 50 patients with schizophrenia, and 50 healthy control subjects, where only one session was conducted for each participant. In both studies, all subjects spoke English and were matched in age, gender, educational background, and ethnicity. Patients were then selected for persistent and predominantly negative symptoms with minimal positive symptoms. The baseline session of the first study was combined with the second study for model training and leave-one-out cross-validation, resulting in a total of 228 participants (103 patients with schizophrenia, 50 patients with depression, and 75 healthy controls), where 5 schizophrenia patients and 4 controls were excluded due to equipment malfunction or error in the consent form.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).en_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleAutomated socio-cognitive assessment of patients with schizophrenia and depressionen_US
dc.typeThesis-Doctor of Philosophyen_US
dc.contributor.supervisorAndy Khong W Hen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeDoctor of Philosophyen_US
dc.contributor.supervisoremailAndyKhong@ntu.edu.sgen_US
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