Identifying endophenotypes for schizophrenia and autism: a support vector machine learning approach

识别精神分裂症和自闭症的内表型：支持向量机学习方法

• 批准号: nhmrc : 1072593
• 负责人: Dr Ashleigh Lin
• 金额: $ 21.1万
• 依托单位: The University of Western Australia
• 依托单位国家: 澳大利亚
• 项目类别: Early Career Fellowships
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/identifying-endophenotypes-schizophrenia-learning-approach/455522
• 关键词: Identifying; endophenotypes; schizophrenia; autism; support

Schizophrenia and autism are mental health problems that often occur together. Despite this, little is known about the overlap between them and how to treat people who experience both. In this study, I will compare young adults with schizophrenia and autism using three measures of brain function. I plan to employ complex statistical analyses to better understand the similarities and differences between the disorders in order to improve diagnosis and treatment.

精神分裂症和自闭症是经常同时发生的精神健康问题。尽管如此，人们对两者之间的重叠以及如何对待同时经历了这两种情况的人知之甚少。在这项研究中，我将使用三项大脑功能指标来比较患有精神分裂症和自闭症的年轻人。我计划使用复杂的统计分析来更好地了解这些疾病之间的相似和不同之处，以便改进诊断和治疗。