Machine Learning Flags Airway Cast Risk in Children With Mycoplasma Pneumonia
A single-center retrospective study of 702 hospitalized children with Mycoplasma pneumoniae pneumonia developed eight machine learning models that identified nine ...
A single-center retrospective study of 702 hospitalized children with Mycoplasma pneumoniae pneumonia developed eight machine learning models that identified nine ...
A cross-sectional study of 1,005 breast cancer patients identified three fatigue subgroups and found perceived stress, depression, and self-compassion were ...
Researchers show that lexical and embedding-based drift measures between synthetic and real clinical text moderately predict how much de-identification models ...
A new Bayesian framework called PIML combines machine learning analysis of electrical impedance signals with clinical prior knowledge, improving diagnostic ...
A Nigerian pilot reconstructed AJCC breast cancer staging logic with a lightweight machine-learning tool, achieving perfect retrospective classification without independent ...
Researchers built a synthetic, Japan-calibrated medical claims benchmark with traceable fraud counterfactuals and a frozen single-access evaluation, reporting strong anti-fraud ...
A stacking machine learning model integrating pain, school, psychosocial, and family variables identified comorbid anxiety disorder in children and adolescents ...
A retrospective Chinese study used admission blood-based inflammatory–nutritional indices and machine learning to predict new diabetic foot ulcers during hospitalization, ...
A retrospective multicenter study of 1,919 Chinese patients found that a 14-predictor gradient-boosting model achieved an AUC of 0.828 for ...
Imagine a screening test for type 2 diabetes that requires nothing more than a microphone, a quiet room, and a ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine