Predicting 30-day mortality in hospitalized patients with community-acquired pneumonia using statistical and machine learning approaches.-Reference-Cited by-同舟云学术

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Predicting 30-day mortality in hospitalized patients with community-acquired pneumonia using statistical and machine learning approaches.

Published:2017 Issue:3 Volume:1 Page:
ISSN:2473-2869
Container-title:Journal of Respiratory Infections
language:
Short-container-title:JRI

Author:

Wiemken Timothy L.,Furmanek Stephen P.,Mattingly William A.,Guinn Brian E.,Cavallazzi Rodrigo,Fernandez-Botran Rafael,Wolf Leslie A.,English Connor L.,Ramirez Julio A.

Publisher

University of Louisville

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Multi-Center Clinical Trial for Wireless Stethoscope-Based Diagnosis and Prognosis of Children Community-Acquired Pneumonia;IEEE Transactions on Biomedical Engineering;2023-07

2. Recent artificial intelligence methods and coronaviruses;Application of Natural Products in SARS-CoV-2;2023

3. Performance of Machine Learning Algorithms for Predicting Adverse Outcomes in Community-Acquired Pneumonia;Frontiers in Bioengineering and Biotechnology;2022-06-29

4. Fueling Clinical and Translational Research in Appalachia: Informatics Platform Approach;JMIR Medical Informatics;2020-10-14

5. Predicting 30-day mortality of patients with pneumonia in an emergency department setting using machine-learning models;Clinical and Experimental Emergency Medicine;2020-09-30

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