Predicting intra-abdominal candidiasis in elderly septic patients using machine learning based on lymphocyte subtyping: a prospective cohort study

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Publication Details

Journal
Frontiers in Pharmacology
Published
2024-12-12
DOI
https://doi.org/10.3389/fphar.2024.1486346
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Predicting intra-abdominal candidiasis in elderly septic patients using machine learning based on lymphocyte subtyping: a prospective cohort study

Guoyu Zhao, Na Cui, Jiahui Zhang, Xianli Lei
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Frontiers in Pharmacology
Sepsis Diagnosis and Treatment
article

Predicting intra-abdominal candidiasis in elderly septic patients using machine learning based on lymphocyte subtyping: a prospective cohort study

Guoyu Zhao, Na Cui, Jiahui Zhang, Xianli Lei
article en

Abstract

No abstract available for this paper.
Frontiers in PharmacologyVol. 15
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN)
Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Peking Union Medical College
Peace, Justice and strong institutions
Openalex Percentile: Top 66%
Sepsis Diagnosis and Treatment
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