AI Medical Compendium Journal:
The Pediatric infectious disease journal

Showing 1 to 5 of 5 articles

Diagnostic Performance of Machine Learning-based Models in Neonatal Sepsis: A Systematic Review.

The Pediatric infectious disease journal Jul 26, 2024
BACKGROUND: Timely diagnosis of neonatal sepsis is challenging. We aimed to systematically evaluate the diagnostic performance of sophisticated machine learning (ML) techniques for the prediction of neonatal sepsis.
Machine Learning Algorithms Humans Infant, Newborn Sensitivity and Specificity ROC Curve Neonatal Sepsis
View on PubMed DOI

Establishment and Verification of an Artificial Intelligence Prediction Model for Children With Sepsis.

The Pediatric infectious disease journal May 8, 2024
BACKGROUND: Early identification of high-risk groups of children with sepsis is beneficial to reduce sepsis mortality. This article used artificial intelligence (AI) technology to predict the risk of death effectively and quickly in children with sep...
Intensive Care Units, Pediatric Support Vector Machine Male Infant Female Infant, Newborn Sepsis Adolescent Child, Preschool Child Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies
View on PubMed DOI

RSV Severe Infection Risk Stratification in a French 5-Year Birth Cohort Using Machine-learning.

The Pediatric infectious disease journal May 7, 2024
BACKGROUND: Respiratory syncytial virus (RSV) poses a substantial threat to infants, often leading to challenges in hospital capacity. With recent pharmaceutical developments to be used during the prenatal and perinatal periods aimed at decreasing th...
Severity of Illness Index Risk Assessment France Infant Respiratory Syncytial Virus Infections Hospitalization Respiratory Syncytial Virus, Human Male Birth Cohort Humans Machine Learning Infant, Newborn Risk Factors Retrospective Studies Female
View on PubMed DOI

Machine Learning Used to Compare the Diagnostic Accuracy of Risk Factors, Clinical Signs and Biomarkers and to Develop a New Prediction Model for Neonatal Early-onset Sepsis.

The Pediatric infectious disease journal Mar 1, 2022
BACKGROUND: Current strategies for risk stratification and prediction of neonatal early-onset sepsis (EOS) are inefficient and lack diagnostic performance. The aim of this study was to use machine learning to analyze the diagnostic accuracy of risk f...
Female Infant, Newborn Risk Factors Male Prospective Studies Biomarkers Machine Learning Anti-Bacterial Agents Humans C-Reactive Protein Neonatal Sepsis Infant ROC Curve
View on PubMed DOI

Long-term Virologic Suppression Despite Presence of Resistance-associated Mutations Among Perinatally HIV-infected Youth.

The Pediatric infectious disease journal Dec 1, 2015
BACKGROUND: There is limited information on long-term consequences of continuing combination antiretroviral therapy (cART) consisting of <3 active drugs in treatment-experienced youth with perinatal HIV (PHIV). This study describes the clinical outco...
Mutation Anti-Retroviral Agents Viral Load CD4 Lymphocyte Count Adult Female Infectious Disease Transmission, Vertical Male Young Adult HIV-1 Adolescent Humans Drug Resistance, Viral HIV Infections Retrospective Studies
View on PubMed DOI
Popular Topics
Popular Journals