An investigation of how normalisation and local modelling techniques confound machine learning performance in a mental health study

• Main Authors: Zhang, Xinxin, Lee, Jimmy, Goh, Wilson Wen Bin
• Other Authors: School of Biological Sciences
• Format: Article
• Language: English
• Published: 2022
• Subjects: Science::Biological sciences; Biomarker; Data Normalisation
• Online Access: https://hdl.handle.net/10356/160994
• Institution: Nanyang Technological University

Machine learning (ML) is increasingly deployed on biomedical studies for biomarker development (feature selection) and diagnostic/prognostic technologies (classification). While different ML techniques produce different feature sets and classification performances, less understood is how upstream da...