A clinical data-driven machine learning approach for predicting the effectiveness of piperacillin-tazobactam in treating lower respiratory tract infections

A clinical data-driven machine learning approach for predicting the effectiveness of piperacillin-tazobactam in treating lower respiratory tract infections

Abstract Background In hospitalized patients, inadequate antibiotic dosage leading to bacterial resistance and increased antimicrobial use intensity due to overexposure to antibiotics are common problems. In the present study, we constructed a machine learning model based on patients’ clinical infor...

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Bibliographic Details
Main Authors: Yemeng Yang, Kun Han, Jiatao Li, Tao Zhang, Zhijing Zhu, Ling Su, Zhaoyong Han, Chunyan Xu, Yi Lu, Likun Pan, Tao Yang
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Pulmonary Medicine
Subjects:
Machine learning
Piperacillin-tazobactam
Lower respiratory tract infections
Clinical data
Web app
Online Access:https://doi.org/10.1186/s12890-025-03580-6
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https://doi.org/10.1186/s12890-025-03580-6

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