Machine learning improves early prediction of small-for-gestational-age births and reveals nuchal fold thickness as unexpected predictor期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

Machine learning improves early prediction of small-for-gestational-age births and reveals nuchal fold thickness as unexpected predictor

Authors:	Shier Nee Saw Arijit Biswas Citra Nurfarah Zaini Mattar Hwee Kuan Lee Choon Hwai Yap

Affiliation:	1. Bioinformatics Institute, Agency for Science, Technology and Research (ASTAR), Singapore Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Malaysia;2. Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health Systems, Singapore;3. Bioinformatics Institute, Agency for Science, Technology and Research (ASTAR), Singapore;4. Department of Bioengineering, Imperial College London, London, UK

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