A new prediction model for assessing the clinical outcomes of ICU patients with community-acquired pneumonia: a decision tree analysis-Reference-Cited by-同舟云学术

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A new prediction model for assessing the clinical outcomes of ICU patients with community-acquired pneumonia: a decision tree analysis

Published:2019-01-02 Issue:1 Volume:51 Page:41-50
ISSN:0785-3890
Container-title:Annals of Medicine
language:en
Short-container-title:Annals of Medicine

Author:

Zhang Shufang¹,Zhang Kai²,Yu Yang²,Tian Baoping²,Cui Wei²,Zhang Gensheng²

Affiliation:

1. Department of Cardiology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China;

2. Department of Critical Care Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China

Funder

National Natural Science Foundation of China

Medical and Health Research Program of Zhejiang Province (Core Talents Plan) of Zhejiang Province

Publisher

Informa UK Limited

Subject

General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/07853890.2018.1518580

Reference27 articles.

1. Validation of the Infectious Diseases Society of America/American Thoratic Society Minor Criteria for Intensive Care Unit Admission in Community-Acquired Pneumonia Patients Without Major Criteria or Contraindications to Intensive Care Unit Care

2. Management-based risk prediction in community-acquired pneumonia by scores and biomarkers

3. CRB-65 predicts death from community-acquired pneumonia*

4. New perspectives on community-acquired pneumonia in 388 406 patients. Results from a nationwide mandatory performance measurement programme in healthcare quality

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1. Aspirin reduces the mortality risk of patients with community-acquired pneumonia: a retrospective propensity-matched analysis of the MIMIC-IV database;Frontiers in Pharmacology;2024-09-13

2. Novel pneumonia score based on a machine learning model for predicting mortality in pneumonia patients on admission to the intensive care unit;Respiratory Medicine;2023-10

3. Machine learning-based prediction of in-ICU mortality in pneumonia patients;Scientific Reports;2023-07-17

4. Development and validation of a survival prediction model in elder patients with community-acquired pneumonia: a MIMIC-population-based study;BMC Pulmonary Medicine;2023-01-18

5. Decision Support Tool to Judiciously Assign High-Frequency Neurologic Examinations in Traumatic Brain Injury;Journal of Surgical Research;2022-12

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