A decision tree for predicting the causative pathogens of community-acquired pneumonia from thin-section computed tomography

Use of the decision tree made it possible to estimate the organisms responsible for CAP with a high correct response rate.

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Publication Details

Journal
Japanese Journal of Radiology
Published
2024-11-06
DOI
https://doi.org/10.1007/s11604-024-01691-4
Citations
1
Primary Topic
Pneumonia and Respiratory Infections
Type
article
Field-Weighted Citation Impact
0.39
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article

A decision tree for predicting the causative pathogens of community-acquired pneumonia from thin-section computed tomography

Fumito Okada, Haruka Sato, Yoshiki Asayama, Yusuke Nakao
1 citations
Japanese Journal of Radiology
Pneumonia and Respiratory Infections
0.39
article

A decision tree for predicting the causative pathogens of community-acquired pneumonia from thin-section computed tomography

Fumito Okada, Haruka Sato, Yoshiki Asayama, Yusuke Nakao
article en
1 citations

Abstract

Use of the decision tree made it possible to estimate the organisms responsible for CAP with a high correct response rate.

Japanese Journal of RadiologyVol. 43(3)
Oita University (JP), Oita Prefectural Hospital (JP)
Peace, Justice and strong institutions
Openalex Percentile: Top 32%
Pneumonia and Respiratory Infections
0.39
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