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

Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

539
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
539
Genetic Screens02:46

Genetic Screens

4.9K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
4.9K

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

A Validated, Modifiable Proteomic Score from the EXSCEL Trial Predicts Cardiovascular Events in Diabetes.

JCI insight·2026
Same author

Inference on summaries of a model-agnostic longitudinal variable importance trajectory with application to suicide prevention.

The annals of applied statistics·2026
Same author

Identifying anaphylaxis using weakly-supervised prediction models and natural language processing.

medRxiv : the preprint server for health sciences·2026
Same author

Efficacy of codesigned COVID-19 booster vaccine promotion materials for long-term care staff: a cluster-randomized trial.

BMC public health·2026
Same author

Substitution Patterns After Discontinuation of CNS-Active Medications in Older Adults in Primary Care.

Journal of the American Geriatrics Society·2026
Same author

Colocalization of eQTLs With Type 2 Diabetes and Glycemic Traits Using Whole-Genome Sequences in Diverse Populations From the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program.

Diabetes·2026
Same journal

Digital divide in clinical and operational artificial intelligence adoption and implementation stages: US hospital diffusion patterns and AI deserts.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Extending the fundamental theorem of biomedical informatics: a proposal and illustrative examples.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Human factors methods for designing safe health information technology: what do the experts think?

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Equity-by-design for socially assistive robots as digital health tools.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

Orchestrator multi-agent clinical decision support system for secondary headache diagnosis in primary care.

Journal of the American Medical Informatics Association : JAMIA·2026
Same journal

CUI-Curate: a GraphRAG-based framework for automated clinical concept curation for NLP applications.

Journal of the American Medical Informatics Association : JAMIA·2026
查看所有相关文章

相关实验视频

Updated: Jun 26, 2025

In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

20.7K

一个用于开发可计算的临床表型算法的一般框架.

David S Carrell1, James S Floyd2,3, Susan Gruber4

  • 1Kaiser Permanente Washington Health Research Institute, Seattle, WA 98101, United States.

Journal of the American Medical Informatics Association : JAMIA
|May 15, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个5个阶段的框架,以指导开发人员在使用电子健康记录数据创建可计算算法,用于使用电子健康记录数据进行患者表型识别. 该框架通过机器学习和自然语言处理来增强算法开发.

关键词:
可计算的算法可计算的算法健康结果的健康结果.建模方法 建模方法推的做法 推的做法

更多相关视频

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

3.8K
In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
00:06

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

13.6K

相关实验视频

Last Updated: Jun 26, 2025

In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

20.7K
A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

3.8K
In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
00:06

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

13.6K

科学领域:

  • 生物医学信息学 生物医学信息学
  • 临床数据科学 临床数据科学
  • 计算医学是一种计算医学.

背景情况:

  • 准确识别患者的临床状况 (表型) 对于研究和临床护理至关重要.
  • 利用丰富的电子健康记录 (EHR) 数据需要强大的可计算算法.
  • 现有的算法开发方法可以通过结构化指导来改进.

研究的目的:

  • 为开发可计算算法来识别患者表型提供一个一般框架.
  • 通过机器学习 (ML) 和自然语言处理 (NLP) 等方法,提供高层次指导,用于整合多样化的EHR数据.
  • 提高算法开发过程的效率和可靠性.

主要方法:

  • 基于广泛的先前表型化经验,构思了一个框架.
  • 结合了来自三个专用算法开发项目的见解.
  • 组建了一个具有临床医学,统计学,信息学,药物流行病学和数据科学专业知识的多学科团队.

主要成果:

  • 提出了5个阶段的算法开发框架: (1) 评估适用性, (2) 创建黄金标准数据, (3) 功能工程, (4) 模型开发和 (5) 模型评估.
  • 每个阶段的详细原则,战略和实际指导方针.
  • 该框架旨在改善患者表型算法的开发.

结论:

  • 这份框架为可计算的表型算法开发人员提供了实际指导.
  • 它作为未来临床算法开发研究和扩展的基础.
  • 这种结构化的方法有助于有效地使用电子健康记录数据来识别特定患者的疾病.