AIMC Topic: Infant

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Machine Learning-Based Pediatric Early Warning Score: Patient Outcomes in a Pre- Versus Post-Implementation Study, 2019-2023.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Feb 6, 2025
OBJECTIVES: To describe the deployment of pediatric Calculated Assessment of Risk and Triage (pCART), a machine learning (ML) model to predict the risk of the direct ward to the ICU transfer within 12 hours, and the associated improved outcomes among...
Humans Machine Learning Infant Respiration, Artificial Adolescent Child, Preschool Child Female Infant, Newborn Male Risk Assessment Early Warning Score Hospital Mortality Intensive Care Units, Pediatric Triage Patient Transfer
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Deep learning radiomics nomogram for preoperatively identifying moderate-to-severe chronic cholangitis in children with pancreaticobiliary maljunction: a multicenter study.

BMC medical imaging Feb 5, 2025
BACKGROUND: Long-term severe cholangitis can lead to dense adhesions and increased fragility of the bile duct, complicating surgical procedures and elevating operative risk in children with pancreaticobiliary maljunction (PBM). Consequently, preopera...
Female Radiomics Male Infant Nomograms Adolescent Chronic Disease Child, Preschool Severity of Illness Index Cholangitis Child Humans Deep Learning Pancreaticobiliary Maljunction Retrospective Studies Tomography, X-Ray Computed
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Interoperable Models for Identifying Critically Ill Children at Risk of Neurologic Morbidity.

JAMA network open Feb 3, 2025
IMPORTANCE: Decreasing mortality in the field of pediatric critical care medicine has shifted practicing clinicians' attention to preserving patients' neurodevelopmental potential as a main objective. Earlier identification of critically ill children...
Humans Machine Learning Biomarkers Prognosis Critical Illness Adolescent Child, Preschool Child Intensive Care Units, Pediatric Nervous System Diseases Female Male Risk Assessment Infant
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Synergistic modeling of hemorrhagic dengue fever: Passive immunity dynamics and time-delay neural network analysis.

Computational biology and chemistry Jan 31, 2025
Dengue fever poses a formidable epidemiological challenge, particularly for vulnerable groups such as infants. This research paper establishes a mathematical model to describe the dynamics of secondary immunity in infants against dengue hemorrhagic f...
Severe Dengue Humans Neural Networks, Computer Infant Time Factors
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Individual risk and prognostic value prediction by interpretable machine learning for distant metastasis in neuroblastoma: A population-based study and an external validation.

International journal of medical informatics Jan 29, 2025
PURPOSE: Neuroblastoma (NB) is a childhood malignancy with a poor prognosis and a propensity for distant metastasis (DM). We aimed to establish machine learning (ML) based model to accurately predict risk of DM and prognosis of NB patients with DM.
Prognosis SEER Program Female Neoplasm Metastasis Neuroblastoma Humans Risk Factors Child, Preschool Risk Assessment Child Male Machine Learning Infant ROC Curve Algorithms
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Decision tree-based learning and laboratory data mining: an efficient approach to amebiasis testing.

Parasites & vectors Jan 29, 2025
BACKGROUND: Amebiasis represents a significant global health concern. This is especially evident in developing countries, where infections are more common. The primary diagnostic method in laboratories involves the microscopy of stool samples. Howeve...
Middle Aged Infant Aged Adolescent Decision Trees Gastroenteritis Young Adult Child, Preschool Humans Adult Amebiasis Jordan Male Data Mining Child Machine Learning Feces Algorithms Electronic Health Records Female
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Explore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh.

BMC public health Jan 29, 2025
BACKGROUND: Child mortality is a reliable and significant indicator of a nation's health. Although the child mortality rate in Bangladesh is declining over time, it still needs to drop even more in order to meet the Sustainable Development Goals (SDG...
Male Infant Child, Preschool Health Surveys Female Child Mortality Humans Bangladesh Machine Learning Infant, Newborn Risk Factors Adult
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Development and validation of machine learning-based prediction model for central venous access device-related thrombosis in children.

Thrombosis research Jan 28, 2025
BACKGROUND: Identifying independent risk factors and implementing high-quality assessment tools for early detection of patients at high risk of central venous access device (CVAD)-related thrombosis (CRT) plays a critical role in delivering timely pr...
Machine Learning Retrospective Studies Female Risk Factors Central Venous Catheters Child Male Humans Thrombosis Catheterization, Central Venous Infant Adolescent Child, Preschool
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A pediatric emergency prediction model using natural language process in the pediatric emergency department.

Scientific reports Jan 28, 2025
This study developed a predictive model using deep learning (DL) and natural language processing (NLP) to identify emergency cases in pediatric emergency departments. It analyzed 87,759 pediatric cases from a South Korean tertiary hospital (2012-2021...
Emergency Service, Hospital Pediatrics Deep Learning Child, Preschool Child Natural Language Processing Republic of Korea Female Male Humans Infant Machine Learning Electronic Health Records
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Prediction of surgical necessity in children with ureteropelvic junction obstruction using machine learning.

Irish journal of medical science Jan 27, 2025
BACKGROUND: Hydronephrosis developing at the ureteropelvic junction due to obstruction poses clinical challenges as it has the potential to cause renal damage.
Hydronephrosis Ureteral Obstruction Child ROC Curve Logistic Models Kidney Pelvis Humans Machine Learning Male Infant Child, Preschool Retrospective Studies Female
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