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LiquidGAN for Handwriting-Based Detection and Severity Classification of Extrapyramidal Symptoms.

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Title: LiquidGAN for Handwriting-Based Detection and Severity Classification of Extrapyramidal Symptoms.
Authors: Liyanage EM; School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia., Lee CH; Jianan Psychiatric Center Ministry of Health and Welfare, Tainan City 701, Taiwan.; Taoyuan Psychiatric Center, Ministry of Health and Welfare, Taoyuan City 330, Taiwan.; Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City 701, Taiwan., Chang WY; Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City 701, Taiwan., Lee AA; Taoyuan Psychiatric Center, Ministry of Health and Welfare, Taoyuan City 330, Taiwan., Liaw GH; Department of Information Engineering, I-Shou University, Kaohsiung City 800, Taiwan., Yang WC; Department of Information Engineering, I-Shou University, Kaohsiung City 800, Taiwan., Liu YH; Florence Nightingale School of Nursing & Midwifery, King's College London, London WC2R 2LS, UK., Lan KC; Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City 701, Taiwan., Ling SH; School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Jun 18; Vol. 26 (12). Date of Electronic Publication: 2026 Jun 18.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: LiquidGAN for Handwriting-Based Detection and Severity Classification of Extrapyramidal Symptoms.
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  Data: <searchLink fieldCode="AU" term="%22Liyanage+EM%22">Liyanage EM</searchLink>; School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia.<br /><searchLink fieldCode="AU" term="%22Lee+CH%22">Lee CH</searchLink>; Jianan Psychiatric Center Ministry of Health and Welfare, Tainan City 701, Taiwan.; Taoyuan Psychiatric Center, Ministry of Health and Welfare, Taoyuan City 330, Taiwan.; Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City 701, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chang+WY%22">Chang WY</searchLink>; Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City 701, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lee+AA%22">Lee AA</searchLink>; Taoyuan Psychiatric Center, Ministry of Health and Welfare, Taoyuan City 330, Taiwan.<br /><searchLink fieldCode="AU" term="%22Liaw+GH%22">Liaw GH</searchLink>; Department of Information Engineering, I-Shou University, Kaohsiung City 800, Taiwan.<br /><searchLink fieldCode="AU" term="%22Yang+WC%22">Yang WC</searchLink>; Department of Information Engineering, I-Shou University, Kaohsiung City 800, Taiwan.<br /><searchLink fieldCode="AU" term="%22Liu+YH%22">Liu YH</searchLink>; Florence Nightingale School of Nursing & Midwifery, King's College London, London WC2R 2LS, UK.<br /><searchLink fieldCode="AU" term="%22Lan+KC%22">Lan KC</searchLink>; Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City 701, Taiwan.<br /><searchLink fieldCode="AU" term="%22Ling+SH%22">Ling SH</searchLink>; School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia.
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              Text: 2026 Jun 18
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