CatBoost model predicts 30-day complications following left-sided infective endocarditis surgery
A retrospective study developed and validated a machine learning model to predict 30-day mortality and major complications following surgery for ...
Tag: SHAP analysis
Neural Network Predicts In-Hospital Mortality in Male Aortic Dissection Surgery
A neural network model showed promising discrimination for predicting in-hospital mortality after surgery in male patients with acute type A ...
Particle Swarm Optimized XGBoost Accurately Predicts Concrete Deep Beam Shear Strength
A particle swarm-optimized XGBoost model accurately predicted the shear strength of steel fiber-reinforced concrete deep beams across 208 tested specimens.
Study Identifies Predictors of Antiviral Treatment Failure in HBV and HCV Coinfection
A retrospective cohort study evaluated baseline clinical, virological, and fibrosis-related predictors of direct-acting antiviral failure in adults with concurrent hepatitis ...
Machine Learning Model Predicts Nasopharyngeal Carcinoma Using Routine Laboratory Tests
A machine-learning model utilizing routine laboratory indicators demonstrated strong predictive performance for nasopharyngeal carcinoma across multicenter cohorts.
Blood Test Model Distinguishes Pertussis in Children
A retrospective study developed machine learning models using routine blood parameters to distinguish pertussis-positive children from symptomatic negative cases and ...
Machine Learning Model Predicts Depressive Symptoms in Older Adults With Edentulism
Researchers have developed and temporally validated an explainable machine learning model to estimate concurrent depressive symptoms in older adults with ...
Pediatric Intensive Care AI Models Face Limits from Missing Physiological Data
Machine learning models trained on the Pediatric Intensive Care database achieved moderate mortality discrimination but suffered from low sensitivity due ...
Flood Resilience in Beijing-Tianjin-Hebei Infrastructure Rose From 2000 to 2022
An assessment of the Beijing-Tianjin-Hebei region found that urban infrastructure flood resilience generally increased from 2000 to 2022.
Meta-learning improves concrete strength prediction with limited data
A new meta-learning framework improves concrete strength prediction accuracy and interpretability using limited data.
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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