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 Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

33
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
33
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

45
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...
45
Health Literacy01:21

Health Literacy

4.0K
Health literacy is an individual's or a community's capacity to comprehend, receive, read, and use relevant healthcare information and services. The World Health Organization (WHO, 2018) defines health literacy as the cognitive and social skills that determine the ability of individuals to gain access to, understand, and use information in ways that promote and maintain good health. As a result, the WHO helps individuals manage long-term health concerns, participate in preventative...
4.0K
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

1.6K
The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
1.6K
Healthcare Agencies II01:17

Healthcare Agencies II

692
There are various healthcare agencies in the United States—some of which are managed by religious institutions and others by different government branches.
Parish nursing is a growing specialty nursing profession that focuses on holistic healthcare, health promotion, and illness prevention. It blends professional nursing practice with a health ministry, focusing on health and healing within the context of a Christian community. Parish nurses serve as health educators, referral sources,...
692
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

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

LLMs for Healthcare Process Orchestration: Promises and Challenges.

Studies in health technology and informatics·2026
Same author

Challenges of Bringing Augmented Reality into Nursing Medication Preparation.

Studies in health technology and informatics·2026
Same author

Modeling Blood Pressure Monitoring in openEHR: An Implementation Case Study.

Studies in health technology and informatics·2026
Same author

Modeling Reimbursement-Relevant Drug Data as a Property Graph.

Studies in health technology and informatics·2026
Same author

LLMs in Problem-Based Learning: The Grounding Issue.

Studies in health technology and informatics·2026
Same author

Imaging Predictors of Silent Brain Lesions: Correlating Carotid Plaque Features on Ultrasound and CT in an Observational Study.

Journal of clinical medicine·2026

相关实验视频

Updated: Jun 15, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

525

合成表格健康数据的大型语言模型:一个基准研究.

Marko Miletic1, Murat Sariyar1

  • 1Bern University of Applied Sciences, Switzerland.

Studies in health technology and informatics
|August 23, 2024
PubMed
概括

大型语言模型 (LLM) 显示出生成合成健康数据的前景,随着模型大小的增加,其表现优于生成对抗网络 (GAN). 即使较小的LLM也与医疗保健研究应用中的GAN性能相匹配.

科学领域:

  • 医疗信息学 医疗信息学
  • 人工智能在医学中的应用
  • 数据科学数据科学数据科学

背景情况:

  • 由于隐私问题和数据稀缺,合成表格健康数据对于研究至关重要.
  • 大型语言模型 (LLM) 和生成对立网络 (GAN) 是合成数据生成的领先方法.

研究的目的:

  • 将基于变压器的LLM的性能与用于合成表格健康数据生成的参考GAN进行比较.
  • 评估LLM模型大小和培训数据集大小对合成数据实用性的影响.

主要方法:

  • 将Pythia LLM模型 (14M到1B参数) 与CTGAN (参考GAN) 进行比较.
  • 使用生成的合成数据来训练随机森林分类器在真实数据上的预测任务.

主要成果:

  • 随着模型大小的增加,LLM性能得到了改善,超过了GAN基线.
  • 最小的LLM (14M参数) 显示了与GAN相比的性能.
  • 在培训数据集大小和模型性能之间观察到正相关性.

结论:

  • LLM对于生成高效的合成表格健康数据是有效的,其性能与模型大小相适应.
关键词:
没有了,没有了,没有了.合成数据生成的合成数据生成.大型语言模型.表格式数据是表格式数据.

更多相关视频

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

663
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.6K

相关实验视频

Last Updated: Jun 15, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

525
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

663
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.6K
  • 基于LLM的合成数据生成为医疗保健研究提供了GAN的可行替代方案.
  • 需要对LLM合成数据的实际实施挑战和考虑进行进一步的研究.