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Advanced machine learning methods in psychiatry: an introduction

         

摘要

Mental health questions can be tackled through machine learning(ML)techniques.Apart from the two ML methods we introduced in our previous paper,we discuss two more advanced ML approaches in this paper:support vector machines and artificial neural networks.To illustrate how these ML methods have been employed in mental health,recent research applications in psychiatry were reported.

著录项

  • 来源
    《综合精神医学(英文)》 |2020年第2期|P.107-110|共4页
  • 作者单位

    Department of Mathematics University of California San Diego La Jolla California USA;

    Department of Biostatistics and Computational Biology University of Rochester Rochester New York USA;

    Departments of Biostatistics and Computational Biology and Anesthesiology University of Rochester Rochester New York USA;

    Department of Biostatistics and Computational Biology University of Rochester Rochester New York USA;

    Clinical and Translational Research Institute University of California San Diego San Diego California USA;

    Department of Biostatistics and Computational Biology University of Rochester Rochester New York USA;

    Family Medicine and Public Health University of California San Diego La Jolla California USANaval Health Research Center San Diego California USA;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 神经病学与精神病学;
  • 关键词

    networks.; ed.; learning;

    机译:网络。;编辑。;学习;
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