首页> 中文期刊> 《综合精神医学》 >Machine learning methods in psychiatry:a brief introduction

Machine learning methods in psychiatry:a brief introduction

         

摘要

Machine learning(ML)techniques have been widely used to address mental health questions.We discuss two main aspects of ML in psychiatry in this paper,that is,supervised learning and unsupervised learning.Examples are used to illustrate how ML has been implemented in recent mental health research.

著录项

  • 来源
    《综合精神医学》 |2020年第1期|20-22|共3页
  • 作者单位

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

    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;

    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 USA;

    Naval Health Research Center San Diego California USA;

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

  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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