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

Bioavailability: Influencing Factors01:22

Bioavailability: Influencing Factors

353
Bioavailability refers to the extent and rate at which a drug reaches systemic circulation in its active form. Extent refers to the amount of the drug that makes it into circulation, while rate is the speed at which it enters circulation. It is influenced by several factors critical for optimizing drug formulations, dosing regimens, and therapeutic outcomes.Physicochemical properties of drugs and formulationsThe solubility, stability, and dissolution rate of a drug significantly impact its...
353
Factors Influencing Microbial Growth: pH01:29

Factors Influencing Microbial Growth: pH

1.1K
Microorganisms are classified as acidophiles, neutrophiles, or alkaliphiles based on their pH growth preferences, reflecting their adaptations to specific environments. Maintaining a stable intracellular pH is critical for macromolecular stability and enzymatic activity, which can be challenged by external pH variations.Neutrophiles, such as Escherichia coli, grow optimally between pH 5.5 and 8.0. These microorganisms inhabit neutral or slightly acidic environments and employ mechanisms like...
1.1K
Factors Influencing Attraction I: Proximity01:22

Factors Influencing Attraction I: Proximity

254
Proximity plays a fundamental role in shaping interpersonal attraction by increasing opportunities for interaction and fostering familiarity. Research consistently demonstrates that individuals are more likely to form social bonds with those who are physically closer to them, whether in residential settings, workplaces, or educational institutions. This effect is largely driven by the increased frequency of encounters, which facilitates the development of friendships and romantic...
254
Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

6.2K
The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
6.2K
Factors Influencing Bioavailability: First-Pass Elimination01:23

Factors Influencing Bioavailability: First-Pass Elimination

8.0K
When a drug is taken orally, it undergoes a journey starting from the gastrointestinal (GI) tract, passing through the portal vein, reaching the liver, and finally entering the systemic circulation. This process involves the absorption of the drug across the GI tract. The liver is the primary site for metabolizing the drug, with some metabolism also occurring in the gut wall. This journey significantly reduces the quantity of the drug that reaches the systemic circulation, a phenomenon known as...
8.0K
Factors Influencing Microbial Growth: Temperature01:27

Factors Influencing Microbial Growth: Temperature

1.2K
Microorganisms display remarkable adaptations, enabling them to thrive in diverse ecological niches across a wide range of temperatures. Temperature profoundly influences microbial growth by affecting enzymatic activity, membrane fluidity, and other cellular processes.Each microorganism operates within a specific temperature range defined by three cardinal points: minimum, optimum, and maximum. Below the minimum temperature, membranes lose fluidity, halting transport processes. Above the...
1.2K

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

Identification of shipping signals with few-shot learning: A distribution-aware approach.

PloS one·2026
Same author

The Effects of Visual-Olfactory Interactions With Moving Particles on EEG-Based Emotional Classification in AR Environments.

IEEE transactions on visualization and computer graphics·2026
Same author

Nutrient Clusters Associated with the Dietary Inflammatory Index in Patients with Diabetes and Prediabetes: A Prospective Observational Study.

Nutrients·2026
Same author

The cartilage-generated bioelectric potentials induced by dynamic joint movement; an exploratory study.

BMC musculoskeletal disorders·2025
Same author

Pain-Related Responses in Preterm Babies Using Automated and Laser Heel-Lancing Devices.

Creative nursing·2025
Same author

Sex-Specific Validity of the PRE-DELIRIC Model and the E-PRE-DELIRIC Model for Predicting Delirium in Patients After Cardiac Surgery.

The Journal of cardiovascular nursing·2024

相关实验视频

Updated: Jan 24, 2026

Transradial Access Chemoembolization for Hepatocellular Carcinoma Patients
05:31

Transradial Access Chemoembolization for Hepatocellular Carcinoma Patients

Published on: September 20, 2020

6.1K

在经过基于机器学习的跨动脉化学栓塞的患者中影响后栓塞发烧的因素:一项回顾性研究.

Won-Du Chang1, Myoung Soo Kim2

  • 1Department of Artificial Intelligence and Convergence, Pukyong National University, Busan, South Korea.

Computers, informatics, nursing : CIN
|January 23, 2026
PubMed
概括

机器学习模型可以预测跨动脉化学栓塞 (TACE) 后的栓塞后发烧. 关键因素包括TACE前后的实验室值,瘤大小和治疗剂,有助于临床监测.

关键词:
发烧 发烧 发烧机器学习是机器学习.预测性学习模型的预测性学习模型有关风险因素的风险因素.治疗性化学血栓化疗法

更多相关视频

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.4K
Influence of Emotional Factors on the Efficacy of Acupuncture Treatment for Overweight Complicated with Hyperlipidemia: A Retrospective Cohort Study
03:05

Influence of Emotional Factors on the Efficacy of Acupuncture Treatment for Overweight Complicated with Hyperlipidemia: A Retrospective Cohort Study

Published on: November 21, 2025

497

相关实验视频

Last Updated: Jan 24, 2026

Transradial Access Chemoembolization for Hepatocellular Carcinoma Patients
05:31

Transradial Access Chemoembolization for Hepatocellular Carcinoma Patients

Published on: September 20, 2020

6.1K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.4K
Influence of Emotional Factors on the Efficacy of Acupuncture Treatment for Overweight Complicated with Hyperlipidemia: A Retrospective Cohort Study
03:05

Influence of Emotional Factors on the Efficacy of Acupuncture Treatment for Overweight Complicated with Hyperlipidemia: A Retrospective Cohort Study

Published on: November 21, 2025

497

科学领域:

  • 在瘤学瘤学.
  • 医疗成像医学成像
  • 机器学习 机器学习

背景情况:

  • 栓塞后发烧是跨动脉化学栓塞 (TACE) 的常见并发症.
  • 目前,没有确立的框架来预测血栓塞后发烧.
  • 预测因素可能包括人口统计,临床,实验室和放射学数据.

研究的目的:

  • 开发和验证基于机器学习的预测模型,用于TACE后的栓塞后发烧.
  • 为了确定 posembolization 发烧的关键临床,实验室和放射学预测因素.

主要方法:

  • 对接受TACE的1495名患者的数据进行了回顾性审查.
  • 使用SPSS和Python开发了七个机器学习算法.
  • 预测模型的验证,用于发血后发烧的发生.

主要成果:

  • 一种组合方法在预测血栓后发烧方面表现最好.
  • 积极的预测因素包括TACE AST后,CRP,ALT,胆红素,INR,血小板,TACE AST前,α-fetoprotein,血小板,利皮阿多尔/多克索鲁比辛量,以及瘤大小>5厘米.
  • 负面预测因素包括TACE后的淋巴细胞/单细胞计数,专蛋白,TACE前的专蛋白/淋巴细胞计数,以及可能的肝细胞癌.

结论:

  • 机器学习模型可以有效地预测TACE后的栓塞后发烧.
  • 临床医生应在TACE前后监测各种患者数据,以评估发烧风险.
  • 对于医疗保健专业人员来说,了解TACE的副作用和管理策略至关重要.