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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

Interpretable machine learning model for predicting covert hepatic encephalopathy in patients with cirrhosis: a multicenter study  Frontiers

Development and validation of an interpretable machine learning model for acute radiation dermatitis in breast cancer  Frontiers

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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