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

The Aufbau Principle and Hund's Rule03:02

The Aufbau Principle and Hund's Rule

73.0K
To determine the electron configuration for any particular atom, we can build the structures in the order of atomic numbers. Beginning with hydrogen, and continuing across the periods of the periodic table, we add one proton at a time to the nucleus and one electron to the proper subshell until we have described the electron configurations of all the elements. This procedure is called the aufbau principle, from the German word aufbau (“to build up”). Each added electron occupies the...
73.0K
Exceptions to the Octet Rule02:55

Exceptions to the Octet Rule

37.7K
Many covalent molecules have central atoms that do not have eight electrons in their Lewis structures. These molecules fall into three categories:
37.7K
Lewis Symbols and the Octet Rule02:36

Lewis Symbols and the Octet Rule

81.1K
Chemical bonds are complex interactions between two or more atoms or ions, which reduce the potential energy of the molecule. Gilbert N. Lewis developed a model called the Lewis model that simplified the depiction of chemical bond formation and provided straightforward explanations for the chemical bonds seen in most common compounds.
81.1K
Impact of Individuals on Individuals01:30

Impact of Individuals on Individuals

389
Human behavior is intricately shaped by social influences that arise from interactions with others in diverse contexts. These influences not only mold beliefs and attitudes but also drive the regulation of behaviors through both direct communication and observational learning. The study of these processes falls within the domain of social psychology, which seeks to understand how individuals are affected by and affect those around them.Mechanisms of Social InfluenceDirect social influence...
389
The Quotient Rule01:30

The Quotient Rule

75
The quotient rule is a fundamental differentiation technique in calculus used to differentiate functions expressed as a ratio of two differentiable functions. Given a function of the form:Where g(x) and h(x) are both differentiable and h(x) ≠ 0, the derivative of f(x) is given by:Example:The quotient rule is beneficial when differentiating rational functions, trigonometric ratios, and exponential functions. For example, given:applying the quotient rule,This rule is essential in solving...
75
Midpoint Rule01:20

Midpoint Rule

70
Approximating areas under curved boundaries is a common problem in applied mathematics, particularly when an exact calculation is difficult or impractical. One effective numerical method for this purpose is the Midpoint Rule, which provides an estimate of the area under a curve by using rectangular approximations over a specified interval.Description of the Midpoint RuleThe Midpoint Rule begins by dividing the given interval into a number of equal subintervals. For each subinterval, the...
70

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

Bioinformatic identification of CD8+ T cell activation mediated by key genes in fecal microbiota transplantation for irritable bowel syndrome.

PloS one·2026
Same author

Rank-Based Transfer Learning for High-Dimensional Survival Data With Application to Sepsis Data.

Statistics in medicine·2026
Same author

A Morphology-Driven Cascade Delivery of Antigens for Potent T Cell Immunity.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

SpaJoint: a transfer learning method for spatial transcriptomics deconvolution.

Briefings in bioinformatics·2026
Same author

Understanding patients' self-management after enterostomy: knowledge, attitudes, and practices in a cross-sectional study.

Frontiers in public health·2026
Same author

Formulation-Driven Control of mRNA Polyplex Physicochemical Properties Enables Spleen-Targeted Systemic Delivery.

ACS applied bio materials·2026

相关实验视频

Updated: Feb 7, 2026

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method
07:12

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method

Published on: August 2, 2021

4.2K

针对多中心数据集的可扩展和分布式个性化处理规则.

Nan Qiao1,2, Wangcheng Li3, Jingxiao Zhang1,2

  • 1Center for Applied Statistics, Renmin University of China, Beijing 100086, China.

Biometrics
|February 5, 2026
PubMed
概括

我们开发了一种新的机器学习方法,可以从多个数据源创建个性化治疗规则 (ITR),同时保护患者的隐私. 这种方法通过解决传统元学习技术中的偏见来提高准确性.

关键词:
错误分类是因为分类错误.卷曲-平滑-平滑,这是一个非常好的方法.分布式学习是一种分布式的学习.一般化坐标下降算法 坐标下降算法个性化医疗是个性化的医疗.

更多相关视频

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis
10:26

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis

Published on: June 2, 2015

18.0K
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

781

相关实验视频

Last Updated: Feb 7, 2026

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method
07:12

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method

Published on: August 2, 2021

4.2K
A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis
10:26

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis

Published on: June 2, 2015

18.0K
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

781

科学领域:

  • 生物统计学 生物统计学
  • 机器学习 机器学习
  • 医疗信息学 医疗信息学

背景情况:

  • 综合多中心数据对于准确的个性化治疗规则 (ITR) 至关重要.
  • 隐私问题阻碍了来自多个来源的敏感患者数据的整合.
  • 由于局部估计中的偏差,经典的元学习方法可能不足于最佳.

研究的目的:

  • 提出一种新的,保护隐私的方法,从分布式数据中学习最佳个性化处理规则 (ITR).
  • 解决经典元学习在处理隐私约束的多中心数据方面的局限性.

主要方法:

  • 开发了一种卷积平滑加权支持向量机 (SVM) 以实现最佳ITR学习.
  • 利用凸和平滑的损失函数来实现高效的分布式学习.
  • 实现了坐标梯度下降算法,以保证线性收.

主要成果:

  • 拟议的分布式学习程序确保了最优的统计性能与最小的沟通轮.
  • 该方法有效地保护数据隐私,因为它只共享总结统计数据,而不是原始主体级数据.
  • 广泛的模拟和败血症治疗案例研究表明了该方法的有效性.

结论:

  • 卷积平滑加权的SVM提供了一种有效且保护隐私的解决方案,用于从分布式数据中学习个性化处理规则.
  • 这种方法克服了在多中心研究中数据整合的挑战,提高了ITR的准确性和适用性.
  • 该方法对个性化医疗有重大影响,特别是在重症监护机构.