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相关概念视频

Pathophysiology of Heart Failure01:17

Pathophysiology of Heart Failure

1.5K
Heart failure (HF) is a progressive syndrome involving ventricles that leads to inadequate cardiac output. It can be classified based on location and output or ejection fraction. Ejection fraction (EF) is an essential measurement in the diagnosis and surveillance of HF. Reduced EF corresponds to systolic heart failure (HFrEF). However, HF with preserved ejection fraction (HFpEF) is becoming increasingly prevalent. Also known as diastolic HF, this form of HF is related to aging. The...
1.5K
Heart Failure Drugs: β-Blockers01:22

Heart Failure Drugs: β-Blockers

336
β-adrenergic antagonists, commonly known as β-blockers, block the effects of sympathetic neurotransmitters such as noradrenaline (NA) and adrenaline (ADR). They have several beneficial effects in heart failure treatment. They reduce heart rate, the force of contraction, and cardiac muscle relaxation. They also slow the atrial-ventricular conduction rate and raise the threshold for arrhythmias. The concentration of β-blockers determines their effects on bronchodilation,...
336
Heart Failure Drugs: Diuretics01:22

Heart Failure Drugs: Diuretics

361
Heart failure and kidney perfusion are interconnected in a complex way. Reduced renal perfusion and venous congestion are two significant factors that contribute to renal dysfunction in heart failure. The kidneys, primarily responsible for fluid balance in the body, are adversely affected due to compromised cardiac output and increased venous pressure. In response to reduced renal perfusion, the kidneys activate neurohumoral mechanisms to restore balance. However, these mechanisms can be...
361
Heart Failure Drugs: Inhibitors of Renin-Angiotensin System01:26

Heart Failure Drugs: Inhibitors of Renin-Angiotensin System

418
The activation of the sympathetic nervous system and the renin-angiotensin-aldosterone system (RAAS) contributes to cardiac remodeling, and inhibiting the RAAS is a pharmacological target in heart failure management. As a result, neurohumoral modulation is a crucial treatment principle for managing heart failure. This approach involves using medications like ACE inhibitors (ACEIs), angiotensin receptor blockers (ARBs), β-blockers, mineralocorticoid receptor antagonists (MRAs), and neutral...
418
Heart Failure Drugs: Inotropic Agents01:26

Heart Failure Drugs: Inotropic Agents

563
Positive inotropic agents are commonly used as the first line of treatment for heart failure. One such agent is digoxin, derived from the genus Digitalis, which has been known for centuries but effectively utilized since 1785. However, these cardiac glycosides can have potentially toxic effects due to their mechanism of action, which involves inhibiting Na+/K+-ATPase and increasing contractility. Digoxin is absorbed orally and distributed in various tissues, including the CNS. It has a long...
563

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相关实验视频

Updated: Jun 20, 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

541

对心力衰竭的知识图构建使用大型语言模型与提示工程.

Tianhan Xu1,2, Yixun Gu3, Mantian Xue1

  • 1School of Information Engineering, Yangzhou University, Yangzhou, Jiangsu, China.

Frontiers in computational neuroscience
|July 17, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个新的管道,用于使用大型语言模型构建心力衰竭知识图. 两步方法改善了信息提取,并且比传统模型更有效地处理未见的数据.

关键词:
两个步骤聊天心脏衰竭是因为心脏衰竭.知识图表知识图表大型语言模型.快速的工程迅速的工程

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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
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Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

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相关实验视频

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

Published on: December 6, 2024

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

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Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
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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
  • 知识表示 知识表示

背景情况:

  • 准确的疾病知识图表对于临床应用至关重要,但传统的基于BERT的方法需要大量的数据,这在现实世界的医疗环境中往往很少.
  • 现有的模型难以识别培训数据中不存在的新实体和关系,从而限制了它们的实际实用性.

研究的目的:

  • 开发一个实际的管道来构建心力衰竭知识图.
  • 为了利用大型语言模型和专家的精细化,增强知识图表的构建.
  • 为了解决医疗知识图表创建中数据稀缺和分布外实体认可的局限性.

主要方法:

  • 开发了一种新的管道,将大型语言模型 (LLM) 与医学专家的精细化整合起来.
  • 快速工程应用于方案设计,信息提取和知识完成阶段.
  • 使用TwoStepChat方法,结合特定任务提示模板,以实现最佳性能.

主要成果:

  • 与香草提示和精心调整的基于BERT的基线相比,TwoStepChat方法表现出更高的性能.
  • 拟议的管道大大减少了注释时间,比手动注释节省了65%.
  • 该方法有效地提取分布之外的信息,解决了现有方法的一个关键局限性.

结论:

  • 开发的管道为构建专门的医学知识图表提供了高效和有效的解决方案.
  • 法律学士学位和专家改进,特别是TwoStepChat方法,显示出克服医疗AI数据限制的希望.
  • 这项工作有助于通过改进知识代表性来推进临床决策支持和健康管理.