• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

Machine learning in mental health and its relationship with epidemiological practice.

作者信息

DelPozo-Banos Marcos, Stewart Robert, John Ann

机构信息

Swansea University Medical School, Swansea, United Kingdom.

King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom.

出版信息

Front Psychiatry. 2024 Mar 11;15:1347100. doi: 10.3389/fpsyt.2024.1347100. eCollection 2024.

DOI:10.3389/fpsyt.2024.1347100
PMID:38528983
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10961376/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6697/10961376/801f1e3e3001/fpsyt-15-1347100-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6697/10961376/0774bb5d5e30/fpsyt-15-1347100-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6697/10961376/801f1e3e3001/fpsyt-15-1347100-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6697/10961376/0774bb5d5e30/fpsyt-15-1347100-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6697/10961376/801f1e3e3001/fpsyt-15-1347100-g002.jpg

相似文献

1
Machine learning in mental health and its relationship with epidemiological practice.心理健康中的机器学习及其与流行病学实践的关系。
Front Psychiatry. 2024 Mar 11;15:1347100. doi: 10.3389/fpsyt.2024.1347100. eCollection 2024.
2
Rise of the machines? Machine learning approaches and mental health: opportunities and challenges.机器的崛起？机器学习方法与心理健康：机遇与挑战。
Br J Psychiatry. 2018 Sep;213(3):509-510. doi: 10.1192/bjp.2018.105.
3
A systematic review of data mining and machine learning for air pollution epidemiology.空气污染流行病学中数据挖掘与机器学习的系统综述。
BMC Public Health. 2017 Nov 28;17(1):907. doi: 10.1186/s12889-017-4914-3.
4
Machine learning in mental health: a scoping review of methods and applications.机器学习在精神健康领域的应用：方法和应用的范围综述。
Psychol Med. 2019 Jul;49(9):1426-1448. doi: 10.1017/S0033291719000151. Epub 2019 Feb 12.
5
What is Machine Learning? A Primer for the Epidemiologist.什么是机器学习？流行病学人员入门指南。
Am J Epidemiol. 2019 Dec 31;188(12):2222-2239. doi: 10.1093/aje/kwz189.
6
Harnessing the Power of Machine Learning in Dementia Informatics Research: Issues, Opportunities, and Challenges.利用机器学习在痴呆症信息学研究中的力量：问题、机遇和挑战。
IEEE Rev Biomed Eng. 2020;13:113-129. doi: 10.1109/RBME.2019.2904488. Epub 2019 Mar 12.
7
Machine and Deep Learning in Molecular and Genetic Aspects of Sleep Research.机器学习和深度学习在睡眠研究的分子和遗传方面的应用。
Neurotherapeutics. 2021 Jan;18(1):228-243. doi: 10.1007/s13311-021-01014-9. Epub 2021 Apr 7.
8
Machine Learning for Precision Psychiatry: Opportunities and Challenges.机器学习在精准精神医学中的机遇与挑战。
Biol Psychiatry Cogn Neurosci Neuroimaging. 2018 Mar;3(3):223-230. doi: 10.1016/j.bpsc.2017.11.007. Epub 2017 Dec 6.
9
On the relationship between research parasites and fairness in machine learning: challenges and opportunities.论机器学习中研究寄生虫与公平性的关系：挑战与机遇。
Gigascience. 2021 Dec 20;10(12). doi: 10.1093/gigascience/giab086.
10
A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy, motivations, open research challenges and recommendations for intelligent future work.利用机器学习技术在电子急诊分诊和远程医疗患者优先系统领域的应用综述：连贯的分类法、动机、开放的研究挑战和对智能未来工作的建议。
Comput Methods Programs Biomed. 2021 Sep;209:106357. doi: 10.1016/j.cmpb.2021.106357. Epub 2021 Aug 16.

本文引用的文献

1
FDA-cleared artificial intelligence and machine learning-based medical devices and their 510(k) predicate networks.FDA 批准的人工智能和基于机器学习的医疗器械及其 510(k) 前序网络。
Lancet Digit Health. 2023 Sep;5(9):e618-e626. doi: 10.1016/S2589-7500(23)00126-7.
2
Can routine data be used to estimate the mental health service use of children and young people living on Gypsy and Traveller sites in Wales? A feasibility study.常规数据可否用于估算居住在威尔士吉普赛和游民营地的儿童和青少年的精神健康服务使用情况？一项可行性研究。
PLoS One. 2023 Feb 17;18(2):e0281504. doi: 10.1371/journal.pone.0281504. eCollection 2023.
3
Methodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review.
心理健康研究中人工智能应用的方法学与质量缺陷：系统评价
JMIR Ment Health. 2023 Feb 2;10:e42045. doi: 10.2196/42045.
4
A clinician's guide to understanding and critically appraising machine learning studies: a checklist for Ruling Out Bias Using Standard Tools in Machine Learning (ROBUST-ML).临床医生理解和批判性评估机器学习研究指南：使用机器学习标准工具排除偏倚的清单（ROBUST-ML）
Eur Heart J Digit Health. 2022 Apr 12;3(2):125-140. doi: 10.1093/ehjdh/ztac016. eCollection 2022 Jun.
5
From promise to practice: towards the realisation of AI-informed mental health care.从承诺到实践：实现人工智能驱动的精神卫生保健。
Lancet Digit Health. 2022 Nov;4(11):e829-e840. doi: 10.1016/S2589-7500(22)00153-4. Epub 2022 Oct 10.
6
Self-harm, in-person bullying and cyberbullying in secondary school-aged children: A data linkage study in Wales.中学年龄段儿童的自我伤害、面对面欺凌和网络欺凌：威尔士的一项数据关联研究。
J Adolesc. 2023 Jan;95(1):97-114. doi: 10.1002/jad.12102. Epub 2022 Oct 9.
7
Machine learning and artificial intelligence: applications in healthcare epidemiology.机器学习与人工智能：在医疗保健流行病学中的应用
Antimicrob Steward Healthc Epidemiol. 2021 Oct 7;1(1):e28. doi: 10.1017/ash.2021.192. eCollection 2021.
8
Patient and public involvement to build trust in artificial intelligence: A framework, tools, and case studies.患者与公众参与以建立对人工智能的信任：一个框架、工具及案例研究。
Patterns (N Y). 2022 Jun 10;3(6):100506. doi: 10.1016/j.patter.2022.100506.
9
Public opinion on sharing data from health services for clinical and research purposes without explicit consent: an anonymous online survey in the UK.关于未经明确同意就分享医疗服务数据用于临床和研究目的的公众意见：英国的一项匿名在线调查
BMJ Open. 2022 Apr 27;12(4):e057579. doi: 10.1136/bmjopen-2021-057579.
10
Machine learning for medical imaging: methodological failures and recommendations for the future.医学成像中的机器学习：方法学上的失败与未来建议。
NPJ Digit Med. 2022 Apr 12;5(1):48. doi: 10.1038/s41746-022-00592-y.