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

Pneumonia IV: Management01:28

Pneumonia IV: Management

775
The treatment of pneumonia varies based on its severity and the causative pathogen. Here is a structured approach to managing pneumonia, integrating pharmaceutical and supportive care strategies.
Bacterial Pneumonia Treatment
For bacterial pneumonia, antibiotics serve as the cornerstone of therapy. Initial treatment often begins with empirical antibiotics, tailored to the anticipated causative organism and adjusted based on culture results. Key antibiotic choices include:
775
Pneumonia V: Nursing management and Prevention01:30

Pneumonia V: Nursing management and Prevention

3.5K
Nursing management of pneumonia involves promoting airway patency, facilitating rest and conserving energy, encouraging fluid intake, maintaining nutrition, and educating patients.
The nurse must practice strict medical asepsis and adhere to infection control guidelines to minimize healthcare-associated infections.
Enhance airway patency
Position the patient correctly to facilitate drainage of the affected lung segments. Manual or mechanical percussion and vibration can also be employed....
3.5K
Acute Pyelonephritis II: Diagnostic Studies and Management01:28

Acute Pyelonephritis II: Diagnostic Studies and Management

345
Introduction:For diagnosing acute pyelonephritis, a comprehensive patient history is collected to identify symptoms such as dysuria, frequent or urgent urination, flank pain, or costovertebral angle (CVA) tenderness that may suggest a kidney infection.Physical ExaminationDuring the physical examination, CVA tenderness is assessed. This involves gentle percussion over the costovertebral angle, where tenderness often indicates a kidney infection.Diagnostic TestsUrinalysis: Used to identify white...
345
Acute Pancreatitis II: Clinical Manifestations and Management01:30

Acute Pancreatitis II: Clinical Manifestations and Management

776
Acute pancreatitis presents a complex medical emergency characterized by rapid onset inflammation of the pancreas, demanding timely diagnosis and management to prevent complications. The condition primarily manifests through severe upper abdominal pain that often radiates to the back. This pain intensifies following the consumption of fatty foods. Accompanying symptoms such as nausea, vomiting, abdominal distention, fever, dyspnea, cyanosis, and jaundice can vary in intensity but significantly...
776
Acute Coronary Syndrome V: Nursing Management01:26

Acute Coronary Syndrome V: Nursing Management

283
Nursing Assessment:Nursing management of acute coronary syndrome (ACS) involves taking the patient's history, focusing on primary complaints such as chest pain, dyspnea, and excessive sweating (diaphoresis), as well as other symptoms like back or jaw pain, nausea, vomiting, palpitations, dizziness, and fatigue. The nurse also reviews the patient's history of cardiac events, risk factors such as hypertension, diabetes, smoking, family history, and current medications.In the objective assessment,...
283
Acute Kidney Injury VI: Nursing Management01:22

Acute Kidney Injury VI: Nursing Management

410
Acute Kidney Injury (AKI) results in an inability to maintain fluid, electrolyte, and acid-base balance. Effective nursing management is critical in improving patient outcomes and includes comprehensive patient assessment and targeted interventions.Comprehensive Patient AssessmentA detailed history collection is essential, focusing on any recent infections, nephrotoxic medication use, or chronic conditions such as hypertension and diabetes that may contribute to AKI. During the physical...
410

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

ERS statement: Core outcome set for trials evaluating the management of community-acquired and nosocomial pneumonia in adults.

The European respiratory journal·2026
Same author

From acute infection to chronic risk: reframing pneumonia outcomes through long-term mortality prediction.

American journal of respiratory and critical care medicine·2026
Same author

A Defect Dataset for Electrode Coating Manufacturing.

Scientific data·2026
Same author

Pulse oximetry to optimise first-line care and save children's lives: evidence from the AIRE project in West Africa.

BMJ global health·2025
Same author

dpdata: A Scalable Python Toolkit for Atomistic Machine Learning Data Sets.

Journal of chemical information and modeling·2025
Same author

High-Throughput Discovery Illuminates Design Principles and Limits for Long-Lived Charged Species in Organic Electrolytes.

Journal of the American Chemical Society·2025

相关实验视频

Updated: Jan 22, 2026

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

2.3K

改变急性肺炎后的管理:使用机器学习进行风险分层.

Catia Cilloniz1,2,3, Mads Lause Mogensen4, Logan Ward4

  • 1August Pi i Sunyer Biomedical Research Institute-IDIBAPS, Barcelona, Spain.

ERJ open research
|January 21, 2026
PubMed
概括

机器学习识别了社区获得性肺炎的高风险患者,以更好地预测死亡率. 这种方法克服了传统得分的局限性,使得个性化患者护理成为可能.

科学领域:

  • 医学 医学 医学 医学 医学
  • 计算机科学 计算机科学
  • 公共卫生 公共卫生

背景情况:

  • 社区获得性肺炎 (CAP) 带来了严重的死亡风险.
  • 经典的严重程度得分在预测后急性死亡率方面存在局限性.
  • 个性化患者管理对于改善结果至关重要.

研究的目的:

  • 应用机器学习模型来识别CAP患者的高风险表型.
  • 为了提高预测后急性死亡率超出经典的严重性得分.
  • 为了促进个人化患者管理策略的CAP.

主要方法:

  • 利用机器学习算法来分析患者数据.
  • 在社区获得的肺炎中开发了急性后死亡率的预测模型.
  • 将机器学习模型的性能与传统的严重程度得分进行比较.

主要成果:

  • 机器学习成功地识别了不同的高风险表型.
  • 这些模型在预测急性后死亡率方面表现出更高的准确性.
  • 已识别的表型提供了超越经典评分系统的洞察力.

结论:

更多相关视频

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.4K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.9K

相关实验视频

Last Updated: Jan 22, 2026

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

2.3K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.4K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.9K
  • 机器学习在CAP中的应用改善了对高风险患者的识别.
  • 这种方法增强了经典严重程度评分的局限性.
  • 允许更精确和个性化的患者管理社区获得的肺炎.