Establishment of seven lung ultrasound phenotypes: a retrospective observational study of an LUS registry

Seven sets of LUS phenotypes were established through machine learning analysis of retrospective data; these phenotypes could represent the typical characteristics of patients with different types of critical illness.

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Publication Details

Journal
BMC Pulmonary Medicine
Published
2024-10-03
DOI
https://doi.org/10.1186/s12890-024-03299-w
Citations
4
Primary Topic
Ultrasound in Clinical Applications
Type
article
Field-Weighted Citation Impact
1.69

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article

Establishment of seven lung ultrasound phenotypes: a retrospective observational study of an LUS registry

Wanhong Yin, Tongjuan Zou, Xueying Zeng, Qian Wang et al.
4 citations
BMC Pulmonary Medicine
Ultrasound in Clinical Applications
1.69
article

Establishment of seven lung ultrasound phenotypes: a retrospective observational study of an LUS registry

Wanhong Yin, Tongjuan Zou, Xueying Zeng, Qian Wang, Ting Bao
article en
4 citations

Abstract

Seven sets of LUS phenotypes were established through machine learning analysis of retrospective data; these phenotypes could represent the typical characteristics of patients with different types of critical illness.

BMC Pulmonary MedicineVol. 24(1)
Sichuan University (CN), West China Medical Center of Sichuan University (CN), West China Hospital of Sichuan University (CN), Chengdu University (CN)
National Key Research and Development Program of China
Zero hunger
Openalex Percentile: Top 16%
Ultrasound in Clinical Applications
1.69
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Establishment of seven lung ultrasound phenotypes: a retrospective observational study of an LUS registry — Wanhong Yin, Tongjuan Zou, et al. · BMC Pulmonary Medicine (2024) | TGRS Research Map | TGRS