Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Prevalence and Characteristics of North American Indigenous Inflammatory Skin Disease: A Systematic Scoping Review.

International journal of dermatology·2026
Same author

Disease Duration Among Patients Recruited to Alopecia Areata Clinical Trials: A Systematic Review.

Journal of cutaneous medicine and surgery·2026
Same author

Hair Loss Associated With IL-17 and IL-23 Inhibitors: A Systematic Review.

International journal of dermatology·2026
Same author

The Seasonal Trend of Brittle Nails: A Google Trends Analysis of English-speaking Countries.

Acta dermato-venereologica·2026
Same author

The Gut Microbiome as a Therapeutic Target in Alopecia Areata: Not Yet Part of the Patient Treatment Plan.

International journal of dermatology·2026
Same author

Measurement Instruments to Assess Quality of Life in Pediatric Patients With Alopecia Areata: A Systematic Review.

Pediatric dermatology·2026
Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026
Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026
Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026
Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026
Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026
Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026
查看所有相关文章

相关实验视频

Updated: Jul 11, 2025

Predicting Amputation using Local Circulating Mononuclear Progenitor Cells in Angioplasty-treated Patients with Critical Limb Ischemia
07:25

Predicting Amputation using Local Circulating Mononuclear Progenitor Cells in Angioplasty-treated Patients with Critical Limb Ischemia

Published on: September 22, 2020

3.4K

使用机器学习预测截肢:一个系统的审查.

Patrick Fangping Yao1, Yi David Diao1, Eric P McMullen1

  • 1Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada.

PloS one
|November 7, 2023
PubMed
概括
此摘要是机器生成的。

机器学习 (ML) 模型在预测各种条件下的截肢风险方面表现有前途,优于传统方法. 需要进一步的研究来提高模型可靠性和临床应用对于这一关键的手术结果.

更多相关视频

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.8K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K

相关实验视频

Last Updated: Jul 11, 2025

Predicting Amputation using Local Circulating Mononuclear Progenitor Cells in Angioplasty-treated Patients with Critical Limb Ischemia
07:25

Predicting Amputation using Local Circulating Mononuclear Progenitor Cells in Angioplasty-treated Patients with Critical Limb Ischemia

Published on: September 22, 2020

3.4K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.8K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K

科学领域:

  • 医疗信息学 医疗信息学
  • 医疗保健中的机器学习
  • 手术预测结果的预测

背景情况:

  • 截肢是许多疾病的最后手段.
  • 截肢延迟可能会增加患者的发病率和死亡率风险.

研究的目的:

  • 系统地审查和综合现有关于机器学习 (ML) 应用程序的文献,以预测截肢结果.
  • 在截肢预测中评估ML模型的性能和局限性.

主要方法:

  • 从开始到2023年3月5日,在主要数据库 (OVID Embase,OVID Medline,ACM数字图书馆,Scopus,科学网,IEEE Xplore) 进行了全面的文献搜索.
  • 对1376项研究进行选,最终包括15篇文章进行分析.
  • 用曲线下的面积 (AUC) 度量来评估ML模型的性能.

主要成果:

  • ML模型在糖尿病人群中预测截肢的表现有变化至优异 (AUC:0.6-0.94).
  • 模型在创伤患者中显示出强大至优异的预测性能 (AUC:0.88-0.95).
  • 模型在因烧伤和外周血管疾病而被截肢的患者中取得了类似的高性能 (AUC:0.81-1.0).

结论:

  • 开发的ML模型显示出在预测截肢方面超越传统技术和临床判断的潜力.
  • 许多审查的研究显示存在偏差的高风险,主要是由于样本规模小.
  • 进一步的研究是必要的,以解决目前的研究局限性,并促进临床实施的ML截肢预测.