利用跨语言特征域的机器学习对精神分裂症谱系障碍进行任务投票预测

Rui He, Víctor Ortiz-García de la Foz, Luis Manuel Fernández Cacho, Philipp Homan, Iris Sommer, Rosa Ayesa-Arriola, Wolfram Hinzen
{"title":"利用跨语言特征域的机器学习对精神分裂症谱系障碍进行任务投票预测","authors":"Rui He, Víctor Ortiz-García de la Foz, Luis Manuel Fernández Cacho, Philipp Homan, Iris Sommer, Rosa Ayesa-Arriola, Wolfram Hinzen","doi":"10.1101/2024.08.31.24312886","DOIUrl":null,"url":null,"abstract":"<strong>Background and Hypothesis</strong> Identifying schizophrenia spectrum disorders (SSD) from spontaneous speech features is a key focus in computational psychiatry today.","PeriodicalId":501388,"journal":{"name":"medRxiv - Psychiatry and Clinical Psychology","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Task-voting for schizophrenia spectrum disorders prediction using machine learning across linguistic feature domains\",\"authors\":\"Rui He, Víctor Ortiz-García de la Foz, Luis Manuel Fernández Cacho, Philipp Homan, Iris Sommer, Rosa Ayesa-Arriola, Wolfram Hinzen\",\"doi\":\"10.1101/2024.08.31.24312886\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong>Background and Hypothesis</strong> Identifying schizophrenia spectrum disorders (SSD) from spontaneous speech features is a key focus in computational psychiatry today.\",\"PeriodicalId\":501388,\"journal\":{\"name\":\"medRxiv - Psychiatry and Clinical Psychology\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv - Psychiatry and Clinical Psychology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.08.31.24312886\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Psychiatry and Clinical Psychology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.08.31.24312886","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景与假设 从自发语音特征中识别精神分裂症谱系障碍(SSD)是当今计算精神病学的一个重点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Task-voting for schizophrenia spectrum disorders prediction using machine learning across linguistic feature domains
Background and Hypothesis Identifying schizophrenia spectrum disorders (SSD) from spontaneous speech features is a key focus in computational psychiatry today.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Socio-medical Factors Associated with Neurodevelopmental Disorders on the Kenyan Coast Relationship between blood-cerebrospinal fluid barrier integrity, cardiometabolic and inflammatory factors in schizophrenia-spectrum disorders Whole-exome sequencing study of opioid dependence offers novel insights into the contributions of exome variants Mayo Normative Studies: regression-based normative data for remote self-administration of the Stricker Learning Span, Symbols Test and Mayo Test Drive Screening Battery Composite and validation in individuals with Mild Cognitive Impairment and dementia EEG frontal alpha asymmetry mediates the association between maternal and child internalizing symptoms in childhood
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1