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Frontiers Evaluating the efficiency of a nomogram based on the data of neurosurgical intensive care unit patients to predict pulmonary infection of multidrug-resistant Acinetobacter baumannii

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Frontiers  Evaluating the efficiency of a nomogram based on the data of  neurosurgical intensive care unit patients to predict pulmonary infection  of multidrug-resistant Acinetobacter baumannii

Frontiers Diagnostic performance and clinical impact of blood metagenomic next-generation sequencing in ICU patients suspected monomicrobial and polymicrobial bloodstream infections

Frontiers  Evaluating the efficiency of a nomogram based on the data of  neurosurgical intensive care unit patients to predict pulmonary infection  of multidrug-resistant Acinetobacter baumannii

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Frontiers  Evaluating the efficiency of a nomogram based on the data of  neurosurgical intensive care unit patients to predict pulmonary infection  of multidrug-resistant Acinetobacter baumannii

PDF) Predicting the occurrence of multidrug-resistant organism colonization or infection in ICU patients: development and validation of a novel multivariate prediction model

Frontiers  Evaluating the efficiency of a nomogram based on the data of  neurosurgical intensive care unit patients to predict pulmonary infection  of multidrug-resistant Acinetobacter baumannii

PDF) Development and Validation of a Nomogram Prediction Model for Multidrug -Resistant Organisms Infection in a Neurosurgical Intensive Care Unit

Frontiers  Evaluating the efficiency of a nomogram based on the data of  neurosurgical intensive care unit patients to predict pulmonary infection  of multidrug-resistant Acinetobacter baumannii

Frontiers Development of nomogram to predict in-hospital death for patients with intracerebral hemorrhage: A retrospective cohort study

Frontiers  Evaluating the efficiency of a nomogram based on the data of  neurosurgical intensive care unit patients to predict pulmonary infection  of multidrug-resistant Acinetobacter baumannii

Frontiers Nomogram to Predict Intensive Care Following Gastrectomy for Gastric Cancer: A Useful Clinical Tool to Guide the Decision-Making of Intensive Care Unit Admission

Frontiers  Evaluating the efficiency of a nomogram based on the data of  neurosurgical intensive care unit patients to predict pulmonary infection  of multidrug-resistant Acinetobacter baumannii

Frontiers Evaluating the efficiency of a nomogram based on the data of neurosurgical intensive care unit patients to predict pulmonary infection of multidrug-resistant Acinetobacter baumannii

Frontiers  Evaluating the efficiency of a nomogram based on the data of  neurosurgical intensive care unit patients to predict pulmonary infection  of multidrug-resistant Acinetobacter baumannii

Frontiers Carbapenem-resistant gram-negative bacterial infection in intensive care unit patients: Antibiotic resistance analysis and predictive model development

Frontiers  Evaluating the efficiency of a nomogram based on the data of  neurosurgical intensive care unit patients to predict pulmonary infection  of multidrug-resistant Acinetobacter baumannii

Full article: Development and Validation of a Model for Predicting the Risk of Death in Patients with Acinetobacter baumannii Infection: A Retrospective Study

Frontiers  Evaluating the efficiency of a nomogram based on the data of  neurosurgical intensive care unit patients to predict pulmonary infection  of multidrug-resistant Acinetobacter baumannii

A multimodal intervention program to control a long-term Acinetobacter baumannii endemic in a tertiary care hospital, Antimicrobial Resistance & Infection Control

Frontiers  Evaluating the efficiency of a nomogram based on the data of  neurosurgical intensive care unit patients to predict pulmonary infection  of multidrug-resistant Acinetobacter baumannii

Frontiers Novel Multiparametric Nomogram for Overall Survival Prediction in Complicated Intra-Abdominal Infection: A Multicenter Study in China

Frontiers  Evaluating the efficiency of a nomogram based on the data of  neurosurgical intensive care unit patients to predict pulmonary infection  of multidrug-resistant Acinetobacter baumannii

PDF) A Nomogram With Six Variables Is Useful to Predict the Risk of Acquiring Carbapenem-Resistant Microorganism Infection in ICU Patients