AIMC Topic: Mycoplasma pneumoniae

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A comprehensive study based on machine learning models for early identification Mycoplasma pneumoniae infection in segmental/lobar pneumonia.

Scientific reports Jul 1, 2025
Segmental/lobar pneumonia in children following Mycoplasma pneumoniae (MP) infection has a significant threat to the children's health, so early recognition of MP infection is critical to reduce the severity and improve the prognosis of segmental/lob...
Humans Machine Learning Algorithms Child Early Diagnosis Pneumonia, Mycoplasma Mycoplasma pneumoniae Female Male Infant Child, Preschool
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A machine learning model for predicting severe mycoplasma pneumoniae pneumonia in school-aged children.

BMC infectious diseases Apr 21, 2025
OBJECTIVE: To develop an interpretable machine learning (ML) model for predicting severe Mycoplasma pneumoniae pneumonia (SMPP) in order to provide reliable factors for predicting the clinical type of the disease.
Female Male Child Pneumonia, Mycoplasma Mycoplasma pneumoniae Humans Machine Learning Algorithms
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Development of machine learning-based differential diagnosis model and risk prediction model of organ damage for severe Mycoplasma pneumoniae pneumonia in children.

Scientific reports Mar 19, 2025
Severe Mycoplasma pneumoniae pneumonia (SMPP) poses significant diagnostic challenges due to its clinical features overlapping with those of other common respiratory diseases. This study aims to develop and validate machine learning (ML) models for t...
Mycoplasma pneumoniae ROC Curve Diagnosis, Differential Pneumonia, Mycoplasma Machine Learning Algorithms Female Male Humans Risk Assessment Infant Child, Preschool Child
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Using random forest and biomarkers for differentiating COVID-19 and Mycoplasma pneumoniae infections.

Scientific reports Sep 30, 2024
The COVID-19 pandemic has underscored the critical need for precise diagnostic methods to distinguish between similar respiratory infections, such as COVID-19 and Mycoplasma pneumoniae (MP). Identifying key biomarkers and utilizing machine learning t...
Female SARS-CoV-2 Aged Adult Male Middle Aged ROC Curve Diagnosis, Differential Leukocyte Count COVID-19 Pneumonia, Mycoplasma Interleukin-6 Humans Procalcitonin Mycoplasma pneumoniae Biomarkers Machine Learning C-Reactive Protein Retrospective Studies Coinfection Random Forest
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A preliminary prediction model of pediatric Mycoplasma pneumoniae pneumonia based on routine blood parameters by using machine learning method.

BMC infectious diseases Jul 18, 2024
BACKGROUND: The prevalence and severity of pediatric Mycoplasma pneumoniae pneumonia (MPP) poses a significant threat to the health and lives of children. In this study, we aim to systematically evaluate the value of routine blood parameters in predi...
Child Female Humans Pneumonia, Mycoplasma Sensitivity and Specificity Machine Learning Mycoplasma pneumoniae Male Algorithms Child, Preschool
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Model based on the automated AI-driven CT quantification is effective for the diagnosis of refractory Mycoplasma pneumoniae pneumonia.

Scientific reports Jul 13, 2024
The prediction of refractory Mycoplasma pneumoniae pneumonia (RMPP) remains a clinically significant challenge. This study aimed to develop an early predictive model utilizing artificial intelligence (AI)-derived quantitative assessment of lung lesio...
Adolescent Humans Artificial Intelligence Child, Preschool Prospective Studies Pneumonia, Mycoplasma Child Female Retrospective Studies ROC Curve Mycoplasma pneumoniae Male Tomography, X-Ray Computed Lung China
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Predicting and interpreting key features of refractory Mycoplasma pneumoniae pneumonia using multiple machine learning methods.

Scientific reports May 23, 2025
In recent years, the incidence of refractory Mycoplasma pneumoniae pneumonia (RMPP) has significantly risen, posing severe pulmonary and extrapulmonary complications, making early identification a challenge for clinicians. In this retrospective singl...
Mycoplasma pneumoniae Male Middle Aged Adolescent Pneumonia, Mycoplasma Humans Machine Learning Anti-Bacterial Agents Retrospective Studies Female Adult
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Metabolomics and machine learning identify urine metabolic characteristics and potential biomarkers for severe Mycoplasma pneumoniae pneumonia.

Scientific reports May 16, 2025
To study the differences in the urine metabolome between pediatric patients with severe Mycoplasma pneumoniae pneumonia (SMPP) and those with general Mycoplasma pneumoniae pneumonia (GMPP) via non-targeted metabolomics method, and potential biomarker...
Machine Learning Biomarkers Female Male Humans Pneumonia, Mycoplasma Mycoplasma pneumoniae Metabolome Principal Component Analysis Chromatography, High Pressure Liquid Child, Preschool Tandem Mass Spectrometry Child Metabolomics
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Development and validation of an early diagnosis model for severe mycoplasma pneumonia in children based on interpretable machine learning.

Respiratory research May 13, 2025
BACKGROUND: Pneumonia is a major threat to the health of children, especially those under the age of five. Mycoplasma  pneumoniae infection is a core cause of pediatric pneumonia, and the incidence of severe mycoplasma pneumoniae pneumonia (SMPP) has...
Severity of Illness Index Adolescent Child, Preschool Child Female Infant, Newborn Male Infant Early Diagnosis Pneumonia, Mycoplasma Mycoplasma pneumoniae Humans Machine Learning Prospective Studies
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An Accuracy Assessment: Responses to Mycoplasma Pneumoniae Pneumonia-Related Questions by Different Artificial Intelligence Tools.

The clinical respiratory journal Aug 1, 2024
Female Male Surveys and Questionnaires Mycoplasma pneumoniae Pneumonia, Mycoplasma Humans Artificial Intelligence
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