Developing a simplified measure to predict the risk of autism spectrum disorders: Abbreviating the M-CHAT-R using a machine learning approach in China.

Journal: Psychiatry research
PMID:

Abstract

BACKGROUND: Early screening for autism spectrum disorder (ASD) is crucial, yet current assessment tools in Chinese primary child care are limited in efficacy.

Authors

  • Ning Pan
    School of Biomedical Engineering, South-Central Minzu University, Wuhan, China.
  • Lifeng Chen
    Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510630, China.
  • Bocheng Wu
    Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510630, China.
  • Fangfang Chen
    College of Information Science and Engineering, Xinjiang University, Urumqi, Xinjiang, China.
  • Jin Chen
    Department of Neurology, University of Texas Health Science Center at Houston, Houston, TX.
  • Saijun Huang
    Department of Child Healthcare, The Affiliated Foshan Women and Children Hospital, Guangdong Medical University, Foshan 528000, China.
  • Cuihua Guo
    Department of Children Health Care, Dongguan Children's Hospital, Dongguan 523325, China.
  • Jinqing Wu
    Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510630, China.
  • Yujie Wang
    Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC, Australia.
  • Xian Chen
    Comparative Medicine, Pfizer Incorporated, Cambridge, Massachusetts.
  • Shirui Yang
    CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Jin Jing
    Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
  • Xuchu Weng
    Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, 510631, Guangdong, China.
  • Lizi Lin
    Department of Occupational and Environmental Health, Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China. Electronic address: linlz@mail.sysu.edu.cn.
  • Jiuxing Liang
    Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, 510631, Guangdong, China. liangjiuxing@m.scnu.edu.cn.
  • Xin Wang
    Key Laboratory of Bio-based Material Science & Technology (Northeast Forestry University), Ministry of Education, Harbin 150040, China.