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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

62
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
62
Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

2.2K
Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
2.2K

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

MR-ProADM Predicts Mortality and Heart Failure Events in ATTR Cardiac Amyloidosis.

Circulation·2026
Same author

Multidomain evaluation and data-driven approaches to predict recurrent neck pain (END-RNP): a study protocol for a multicentre prospective longitudinal cohort study.

BMJ open·2026
Same author

Age is not enough: Clinical and therapeutic predictors of survival in elderly patients with de novo glioblastoma.

Neuro-oncology advances·2026
Same author

Intra-individual reliability of blood bicarbonate responses and gastrointestinal symptoms following sodium citrate supplementation.

Journal of the International Society of Sports Nutrition·2026
Same author

A Longitudinal Analysis of a Motor Skill Parameter in Junior Triathletes from a Wearable Sensor.

Sensors (Basel, Switzerland)·2026
Same author

Predicting low back pain-related absenteeism in the Spanish general working population.

Occupational and environmental medicine·2025
Same journal

Evidence-Based Clinical Recommendations for the Appropriate Use of Diagnostic Tests in Pediatric Allergology: Focus on Asthma, Rhinoconjunctivitis, and Keratoconjunctivitis Vernal.

Journal of clinical medicine·2026
Same journal

Surgical and Transcatheter Approach of a Failed Mitral Valve Repair: A Comprehensive Review on Selecting the Most Suitable Approach.

Journal of clinical medicine·2026
Same journal

Hybrid Metaheuristic Feature Selection for Breast Cancer Detection in Digital Mammography: A Feasibility Study with Nested Validation, Benchmarking, and External Stress Testing.

Journal of clinical medicine·2026
Same journal

Identity Transformation and the Role of Accountability in Recovery from Problematic Pornography Use: A Phenomenological-Hermeneutical Study.

Journal of clinical medicine·2026
Same journal

Does Early Surgical Treatment in Degenerative Cervical Myelopathy Have a Favorable Clinical Outcome and Impact on Quality of Life?

Journal of clinical medicine·2026
Same journal

Shear Wave Elastography in Musculoskeletal Imaging: A Narrative Review.

Journal of clinical medicine·2026
查看所有相关文章

相关实验视频

Updated: Jul 13, 2025

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

预后因素研究中的自动变量选择算法 在部疼痛研究中.

Bernard X W Liew1, Francisco M Kovacs2, David Rügamer3

  • 1School of Sport, Rehabilitation and Exercise Sciences, University of Essex, Colchester CO4 3SQ, Essex, UK.

Journal of clinical medicine
|October 14, 2023
PubMed
概括
此摘要是机器生成的。

通过比较机器学习和部疼痛恢复预后的统计算法,这项研究发现,随着调整的p值的逐步回归产生了最稀疏的模型. 多变量自适应回归线为部疼痛结果提供了简单性和预测能力的良好平衡.

关键词:
机器学习是机器学习.部疼痛 部疼痛 部疼痛预后 预后 预后统计 统计 统计 统计 统计选择变量的选择变量.

更多相关视频

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.5K
An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
14:56

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

Published on: January 27, 2010

21.4K

相关实验视频

Last Updated: Jul 13, 2025

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
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.5K
An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
14:56

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

Published on: January 27, 2010

21.4K

科学领域:

  • 医学预测 医学预测
  • 计算统计学 计算统计学
  • 流行病学 流行病学

背景情况:

  • 部疼痛 (NP) 是一种普遍的疾病,对生活质量产生重大影响.
  • 预测NP的恢复对于有效的治疗计划至关重要.
  • 预测建模中的变量选择对于识别关键预后因素至关重要.

研究的目的:

  • 为了比较各种机器学习 (ML) 和统计算法的变量选择性能.
  • 为了确定最佳算法来预测部疼痛恢复,手臂疼痛和残疾.
  • 评估不同建模技术的临床可解释性和预测性能.

主要方法:

  • 他们比较了八种建模技术:一步回归 (stepP,stepPAdj,stepAIC),最佳子集,LASSO,MCP,mboost和MuARS.
  • 利用了3001名NP参与者的数据,评估了3个月后的康复结果.
  • 包括25个变量 (28个参数) 作为NP,手臂疼痛和残疾的预测因素.

主要成果:

  • 基于调整的p值 (stepPAdj) 的逐步回归选择了最少的预测因素 (4-8).
  • 多变量适应回归线 (MuARS) 选择了中等数量的预测因素 (9-14) 和平衡的稀疏性与性能.
  • "神经反射疗法干预"和"成像发现:脊柱狭窄症"是跨算法一致选择的预测因素.

结论:

  • 由于它们的稀疏性,StepPAdj模型提供了增强的临床解释性.
  • MuARS在NP结果的模型简单性和预测准确性之间提供了有利的平衡.
  • 使用多个变量选择算法增加了确定部疼痛恢复关键预后因素的信心.