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

Ogive Graph01:07

Ogive Graph

5.6K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
5.6K
Multiple Bar Graph01:07

Multiple Bar Graph

5.1K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
5.1K
Time-Series Graph00:54

Time-Series Graph

4.3K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
4.3K
pV-Diagrams01:18

pV-Diagrams

4.0K
The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
4.0K
Per-Unit Sequence Models01:26

Per-Unit Sequence Models

71
An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
71
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.7K

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

Using a translational data platform to create clinical-grade genome-informed risk assessments.

JAMIA open·2026
Same author

Solutions for Unexpected Challenges Encountered when Integrating Research Genomics Results into the EHR.

ACI open·2026
Same author

A Privacy Nihilist Perspective on Clinical Data Sharing: Open Clinical Data Sharing is Dead, Long Live the Walled Garden.

Journal of the Society for Clinical Data Management·2026
Same author

Pathogen-specific host responses define distinct pneumonia endotypes in the human lung.

bioRxiv : the preprint server for biology·2026
Same author

Navigating data sharing in research.

American journal of human genetics·2026
Same author

Development of a Pilot Machine Learning Model to Predict Successful Short-Term Treatment Success in Critically Ill Patients With Community-Acquired Pneumonia.

CHEST critical care·2026

相关实验视频

Updated: Jun 5, 2025

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

9.3K

一个 OMOP 共同数据模型的图形模型的演变.

Mengjia Kang1, Jose A Alvarado-Guzman2, Luke V Rasmussen3

  • 1Division of Pulmonary and Critical Care Medicine, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States.

Applied clinical informatics
|December 4, 2024
PubMed
概括

我们开发了一种新型的图形模型,将电子健康记录 (EHR) 数据从观察医疗结果伙伴关系 (OMOP) 共同数据模型 (CDM) 转换为图形数据库. 这种优化方案可以提高临床研究数据构建和查询效率.

更多相关视频

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

12.3K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.1K

相关实验视频

Last Updated: Jun 5, 2025

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

9.3K
Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

12.3K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.1K

科学领域:

  • 生物医学信息学 生物医学信息学
  • 数据库管理数据库管理
  • 临床研究 临床研究

背景情况:

  • 图形数据库越来越多地用于用电子健康记录 (EHR) 数据进行临床研究.
  • 现有的将关系式EHR数据 (如OMOP CDM) 转换为图形数据库方案的方法没有得到充分的出版.
  • 各机构都需要一个标准化,可重复使用的电子健康记录数据图形模型.

研究的目的:

  • 开发和评估一个可重复使用的图形模型,将观察医学结果伙伴关系 (OMOP) 共同数据模型 (CDM) 转换为图形数据库模式.
  • 为了比较不同图形模型对EHR数据转换和查询的性能.

主要方法:

  • 基于两个转换策略,使用Neo4j为OMOP CDM创建了四种财产图形模型.
  • 通过肺炎治疗中的成功临床反应 (SCRIPT) 和密集护理协作资源的翻译科学,信息学,综合分析和学习 (CRITICAL) 队列,评估了两个模型.
  • 性能指标包括数据库构建时间,查询复杂性和运行时间.

主要成果:

  • 一个优化的图表方案,优先考虑拓而不是属性,显著改善了数据创建和查询.
  • 关键队列 (134,145名患者) 的图形数据库在不到1小时内建立.
  • 优化的模型在代码简单性,数据库构建速度和查询性能方面表现出优势.

结论:

  • 本研究介绍了将OMOP CDM转换为图形优化的图表的第一个通用解决方案.
  • 开发的建模方法适用于OMOP CDM v5.x数据库,超出了最初的机构研究.
  • 图形优化方案为使用EHR数据的临床研究提供了显著的效率和简单性的改进.