在疾病预测中用于图形学习的混合多式融合
Ruomei Wang1, Wei Guo1, Yongjie Wang2
1Shandong University, Jinan, 250210, China.
Methods (San Diego, Calif.)
|June 16, 2024
概括
这项研究引入了一种新的图形神经网络 (GNN) 方法,通过整合患者原始数据与潜伏嵌入来预测疾病. 这种方法提高了图形结构的准确性,比现有的技术提高了诊断预测性能.
科学领域:
- 医疗信息学 医疗信息学
- 机器学习 机器学习
- 计算生物学 计算生物学
背景情况:
- 图形神经网络 (GNN) 越来越多地被用于通过模拟患者相似性来预测疾病.
- 当前的GNN方法通常依赖于潜伏的嵌入,这可能无法完全捕捉现实世界的患者关系.
- 原始患者数据 (人口统计,实验室结果) 包含了对相似性评估有价值的信息.
研究的目的:
- 为疾病预测开发一个改进的GNN框架.
- 通过结合潜伏嵌入和原始患者数据来增强图形构建.
- 通过边缘修剪和散射来完善图形结构,以提高性能.
主要方法:
- 使用患者潜伏表示和原始数据构建自适应图形.
- 使用加权总和将这些图形合并.
- 应用了度敏感边缘修剪和kNN散射,以完善图形连接.
主要成果:
- 提出的方法在两个诊断预测数据集上表现出卓越的性能.
- 将原始数据与潜伏嵌入相结合,提高了图形结构的准确性.
- 边缘修剪和散射技术有效地减少了噪音和外部连接.
结论:
- 在GNN中结合潜伏嵌入和原始数据,为疾病预测提供了更强大的方法.
- 拟议的图形构造和改进策略明显优于现有的最先进的方法.
- 这项工作强调了利用多种数据源在GNN中准确的患者相似性建模的重要性.
相关概念视频
Classification of Illness
7.4K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
7.4K
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...
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
End Point Prediction: Gran Plot
314
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
For potentiometric titration, the Gran plot is created by plotting...
314
Multi-input and Multi-variable systems
106
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
In the absence...
106
Combination Therapies and Personalized Medicine
4.9K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
4.9K
Functional Classification of Joints
4.0K
Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
4.0K


