• 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

Analyzing Online Reviews of Substance Use Disorder Treatment Facilities in the USA Using Machine Learning.

作者信息

Agarwal Anish K, Guntuku Sharath C, Meisel Zachary F, Pelullo Arthur, Kinkle Bill, Merchant Raina M

机构信息

Department of Emergency Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.

Center for Digital Health, University of Pennsylvania Health System, Philadelphia, PA, USA.

出版信息

J Gen Intern Med. 2022 Mar;37(4):977-980. doi: 10.1007/s11606-021-06618-7. Epub 2021 Mar 16.

DOI:10.1007/s11606-021-06618-7
PMID:33728567
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8904697/
Abstract
摘要

相似文献

1
Analyzing Online Reviews of Substance Use Disorder Treatment Facilities in the USA Using Machine Learning.使用机器学习分析美国物质使用障碍治疗机构的在线评论
J Gen Intern Med. 2022 Mar;37(4):977-980. doi: 10.1007/s11606-021-06618-7. Epub 2021 Mar 16.
2
Machine learning-based outcome prediction and novel hypotheses generation for substance use disorder treatment.基于机器学习的物质使用障碍治疗结局预测和新假说生成。
J Am Med Inform Assoc. 2021 Jun 12;28(6):1216-1224. doi: 10.1093/jamia/ocaa350.
3
Investigating predictive factors of dialectical behavior therapy skills training efficacy for alcohol and concurrent substance use disorders: A machine learning study.探究辩证行为疗法技能训练治疗酒精和共病物质使用障碍疗效的预测因素:一项机器学习研究。
Drug Alcohol Depend. 2021 Jul 1;224:108723. doi: 10.1016/j.drugalcdep.2021.108723. Epub 2021 Apr 24.
4
Machine Learning of Functional Magnetic Resonance Imaging Network Connectivity Predicts Substance Abuse Treatment Completion.基于功能磁共振成像网络连接的机器学习可预测物质滥用治疗的完成情况。
Biol Psychiatry Cogn Neurosci Neuroimaging. 2018 Feb;3(2):141-149. doi: 10.1016/j.bpsc.2017.07.003. Epub 2017 Aug 1.
5
"Tackling the Substance Use Disorder Crisis: The Role of Access to Treatment Facilities".解决物质使用障碍危机:治疗设施可及性的作用。
J Health Econ. 2022 Jan;81:102579. doi: 10.1016/j.jhealeco.2021.102579. Epub 2021 Dec 24.
6
Predicting Substance Use Treatment Failure with Transfer Learning.基于迁移学习的物质使用治疗失败预测。
Subst Use Misuse. 2022;57(13):1982-1987. doi: 10.1080/10826084.2022.2125272. Epub 2022 Sep 21.
7
Addressing addiction in the USA.解决美国的成瘾问题。
Lancet. 2016 Nov 26;388(10060):2565. doi: 10.1016/S0140-6736(16)32382-0.
8
Length of hospitalization and hospital readmissions among patients with substance use disorders in New York City, NY USA.美国纽约市物质使用障碍患者的住院时长和再入院情况
Drug Alcohol Depend. 2020 Jul 1;212:107987. doi: 10.1016/j.drugalcdep.2020.107987. Epub 2020 Apr 27.
9
Predicting hospital readmission in patients with mental or substance use disorders: A machine learning approach.预测精神或物质使用障碍患者的住院再入院:一种机器学习方法。
Int J Med Inform. 2020 Jul;139:104136. doi: 10.1016/j.ijmedinf.2020.104136. Epub 2020 Apr 18.
10
Schizophrenia and substance use disorder: Characteristics of coexisting issues in a forensic setting.精神分裂症与物质使用障碍:法医鉴定环境中并存问题的特征。
Drug Alcohol Depend. 2021 Sep 1;226:108850. doi: 10.1016/j.drugalcdep.2021.108850. Epub 2021 Jun 24.

引用本文的文献

1
Online Reviews of Health Care Facilities.医疗保健机构的在线评论
JAMA Netw Open. 2025 Aug 1;8(8):e2524505. doi: 10.1001/jamanetworkopen.2025.24505.
2
Disparities by Race and Urbanicity in Online Health Care Facility Reviews.在线医疗设施评价中的种族和城市化差异。
JAMA Netw Open. 2024 Nov 4;7(11):e2446890. doi: 10.1001/jamanetworkopen.2024.46890.
3
Association Between Online Reviews of Substance Use Disorder Treatment Facilities and Drug-Induced Mortality Rates: Cross-Sectional Analysis.物质使用障碍治疗机构的在线评论与药物所致死亡率之间的关联:横断面分析
JMIR AI. 2023 Dec 29;2:e46317. doi: 10.2196/46317.
4
COVID-19 contact tracing app reviews reveal concerns and motivations around adoption.新冠接触者追踪应用程序评估揭示了人们对采用该应用程序的担忧和动机。
PLoS One. 2022 Sep 9;17(9):e0273222. doi: 10.1371/journal.pone.0273222. eCollection 2022.

本文引用的文献

1
Association of Online Consumer Reviews of Skilled Nursing Facilities With Patient Rehospitalization Rates.在线消费者对熟练护理设施的评价与患者再入院率的关系。
JAMA Netw Open. 2020 May 1;3(5):e204682. doi: 10.1001/jamanetworkopen.2020.4682.
2
Online Reviews of Specialized Drug Treatment Facilities-Identifying Potential Drivers of High and Low Patient Satisfaction.专业药物治疗机构的在线评价——确定患者高满意度和低满意度的潜在驱动因素
J Gen Intern Med. 2020 Jun;35(6):1647-1653. doi: 10.1007/s11606-019-05548-9.
3
Alcohol, Cannabis, and Opioid Use Disorders, and Disease Burden in an Integrated Health Care System.综合医疗保健系统中的酒精、大麻和阿片类物质使用障碍及疾病负担
J Addict Med. 2017 Jan/Feb;11(1):3-9. doi: 10.1097/ADM.0000000000000260.
4
Yelp Reviews Of Hospital Care Can Supplement And Inform Traditional Surveys Of The Patient Experience Of Care.Yelp上对医院护理的评价可以补充并为传统的患者护理体验调查提供信息。
Health Aff (Millwood). 2016 Apr;35(4):697-705. doi: 10.1377/hlthaff.2015.1030.
5
Performance measures for substance use disorders--what research is needed?物质使用障碍的绩效评估指标——需要哪些研究?
Addict Sci Clin Pract. 2012 Sep 11;7(1):18. doi: 10.1186/1940-0640-7-18.