使用急诊室数据预测中年和老年肺炎患者的14天再入院:使用生存机器学习方法进行多中心回顾性队列研究

Nguyen Thanh Nhu1, Jiunn-Horng Kang2,3,4,5,6, Tian-Shin Yeh4,7,8,9

  • 1Faculty of Medicine, Can Tho University of Medicine and Pharmacy, Can Tho, Viet Nam.

BMJ open
|June 17, 2025
PubMed
概括

机器学习模型可以使用急诊室数据预测老年人14天的肺炎再入院风险. 随机生存森林模型显示出强大的预测性能,识别了像肌素和年龄这样的关键因素.

相关概念视频

Pneumonia I: Introduction01:30

Pneumonia I: Introduction

Pneumonia is an acute respiratory infection that targets the lungs, specifically the alveoli. These tiny air sacs, essential for oxygen exchange, become engorged with pus and fluid, severely hindering breathing, decreasing oxygen absorption, and causing significant pain and discomfort during respiration.
Risk Factors
Various factors influence the likelihood of developing pneumonia. Age plays a crucial role, with infants, children under two, and individuals over 65 at increased risk due to their...
345
Pneumonia III: Complications and Assessment01:30

Pneumonia III: Complications and Assessment

Pneumonia poses the potential for numerous complications that warrant consideration. These complications include the following:
458
Pneumonia V: Nursing management and Prevention01:30

Pneumonia V: Nursing management and Prevention

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....
2.5K
Pneumonia IV: Management01:28

Pneumonia IV: Management

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:
458
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
218
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
553