Development of an interpretable machine learning model for predicting sarcopenia in patients undergoing maintenance hemodialysis Frontiers
SHAP-based interpretable machine learning for Parkinson's disease severity prediction: integrated analysis of clinical and environmental features Frontiers
Development and validation of an interpretable machine learning model for acute radiation dermatitis in breast cancer Frontiers
Development and external validation of an interpretable machine learning model for the prediction of intubation in the intensive care unit Nature
Interpretable machine-learning-based prediction of postpartum haemorrhage in normal vaginal births in Shanghai, China Frontiers
Explainable machine learning for early detection of Parkinson’s disease in aging populations using vocal biomarkers Frontiers
Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis Frontiers
Interpretable machine learning analysis of environmental characteristics on bacillary dysentery in Sichuan Province Frontiers
Predicting mortality in intensive care unit patients with acute pancreatitis using an interpretable machine learning model Frontiers
Exploring the relationship between per- and polyfluoroalkyl substances exposure and rheumatoid arthritis risk using interpretable machine learning Frontiers
Enhancing one-year mortality prediction in STEMI patients post-PCI: an interpretable machine learning model with risk stratification Frontiers
A hybrid fuzzy logic–Random Forest model to predict psychiatric treatment order outcomes: an interpretable tool for legal decision support Frontiers
Predicting central lymph node metastasis in papillary thyroid microcarcinoma: a breakthrough with interpretable machine learning Frontiers
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