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

Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

559
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
559
Modeling in Therapy01:26

Modeling in Therapy

44
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
44
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

2.0K
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
2.0K
Clinical Trials01:16

Clinical Trials

6.6K
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
6.6K
Data Validation01:03

Data Validation

4.9K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
4.9K
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

180
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
180

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

[Polyethylene glycol-accompanied ion-exchange chromatography to purify recombinant hepatitis B virus surface antigen].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology·2006
Same author

Reconstitution of the enzyme AroA and its glyphosate tolerance by fragment complementation.

FEBS letters·2006
Same author

[Study on the intercellular molecule-1 polymorphisms in an Chinese population with myocardial infarction].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2006
Same author

Stereoselective synthesis and fungicidal activities of (E)-alpha-(methoxyimino)-benzeneacetate derivatives containing 1,3,4-oxadiazole ring.

Bioorganic & medicinal chemistry letters·2006
Same author

[HLA-B gene polymorphism detected by high-resolution sequence-based typing in Guangdong Han populations].

Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics·2006
Same author

[Expression of somatostatin receptor reporter gene and its correlation with targeted imaging in vivo for detection of pancreas carcinoma].

Zhonghua zhong liu za zhi [Chinese journal of oncology]·2006

相关实验视频

Updated: Jun 3, 2025

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
11:35

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool

Published on: June 30, 2014

57.9K

从其他临床实践模型中识别底层真实模型,使用模型性能指标.

Yan Li1

  • 1School of Mathematical Sciences, Xiamen University, Xiamen, 361005, People's Republic of China. yan.li2020@outlook.com.

BMC medical research methodology
|January 9, 2025
PubMed
概括

传统的性能测量可能无法识别真正的临床模型,即使它存在于数据中. 需要新的统计方法来准确地从不完美的替代品中检测因果模型.

科学领域:

  • 临床建模 临床建模
  • 统计绩效评估的统计绩效评估
  • 生物统计学 生物统计学

背景情况:

  • 确定真正的数据生成模型对于可靠的临床实践至关重要.
  • 当前的绩效指标可能无法充分区分真实模型和次优候选人.

研究的目的:

  • 评估传统的性能测量是否可以在临床环境中识别真正的数据生成模型.
  • 在各种模拟场景和心血管疾病 (CVD) 风险预测案例中评估模型识别.

主要方法:

  • 从数千个真实模型场景中模拟的临床数据.
  • 经过训练,并使用25种常规性能指标对许多候选和真实模型进行了比较.
  • 评估了单变量,多变量模拟和心血管疾病风险预测案例分析.

主要成果:

  • 与随机 (翻币) 模型相比,真实模型显示出不同的性能.
  • 在真实模型和添加噪声的候选模型之间观察到最小的性能差异.
  • 在真实模型和缺乏因果预测因子的代理模型之间发现了微小的差异.

结论:

  • 传统的测量方法不能始终确定对二进制结果的真实模型,即使存在.
关键词:
心血管疾病是什么心血管疾病临床风险预测模型模型的性能指标是模型的性能指标.产生的结果是真实模型.

更多相关视频

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.0K
Development of a Virtual Reality Assessment of Everyday Living Skills
10:32

Development of a Virtual Reality Assessment of Everyday Living Skills

Published on: April 23, 2014

18.4K

相关实验视频

Last Updated: Jun 3, 2025

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
11:35

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool

Published on: June 30, 2014

57.9K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.0K
Development of a Virtual Reality Assessment of Everyday Living Skills
10:32

Development of a Virtual Reality Assessment of Everyday Living Skills

Published on: April 23, 2014

18.4K
  • 需要新的统计方法来从代理模型中识别真实因果模型,特别是那些带有噪音或缺失预测因素的模型.