Results 111 to 120 of about 66,762 (195)

Interpretable Machine Learning for Predicting Metabolic Syndrome-Kidney Stone Disease Comorbidity: The Role of Dietary Micronutrients. [PDF]

Food Sci Nutr
Wu G, Qin H, Yao J, Liu Y, Zheng J, Wang J, Hao Z, Tao L.   +7 more
europepmc   +1 more source

Interpretable Machine Learning for Extreme Events detection: An application to droughts in the Po River Basin [PDF]

The increasing frequency and intensity of drought events—periods of significant decrease in water availability—are among the most alarming impacts of climate change.
Marcello Restelli, Andrea Castelletti, Alberto Maria Metelli, Matteo Giuliani, Paolo Bonetti, Veronica Cardigliano   +5 more
core  

Polynomial Perceptrons for Compact, Robust, and Interpretable Machine Learning Models. [PDF]

Entropy (Basel)
Aldana-Bobadilla E, Molina-Villegas A, Cesar-Hernandez J, Garza-Fabre M.   +3 more
europepmc   +1 more source

An interpretable machine learning model for predicting brain metastasis in breast cancer. [PDF]

Front Med (Lausanne)
Wang H, Zhang H, Chang M, Chen J, Qiu B, Yang C, Gao C.   +6 more
europepmc   +1 more source

Interpretable Machine Learning Insights into Adhesion and Modulus of Biomedical HA-Dopamine Hydrogels. [PDF]

Gels
Zhang Y, Xu Y, Shi Y, Liang D.
europepmc   +1 more source

Beyond Feature Selection: Interpretable Machine Learning for Mechanistic Insights in Metabolomics. [PDF]

Biology (Basel)
Bai H, Ren Y, Wang J, Wang Y, Yang Y.
europepmc   +1 more source

SpaPheno: linking spatial transcriptomics to clinical phenotypes with interpretable machine learning. [PDF]

Genome Med
Duan B, Cheng X, Zou H.
europepmc   +1 more source

Interpretable Machine Learning for LPR Risk Estimation: A Single-Center Retrospective Case-Control Study. [PDF]

JGH Open
Long C, Li Y, Zhang X, Li J, Hao X, Hua H.   +5 more
europepmc   +1 more source

Explainable Boosting Machine in Sepsis Prediction Using Platelet Metabolomics: An Interpretable Machine Learning Approach. [PDF]

Diagnostics (Basel)
Guldogan E, Yagin B, Korkmaz Y, Alzakari SA, Alkhalifa AK, Al-Hashem F, Yagin FH.   +6 more
europepmc   +1 more source

An inflammatory biomarker panel for prediabetes classification using interpretable machine learning. [PDF]

PLoS One
Maalouf M, Tammam M, Kurungadan S, Alsereidi A, Afzal M, Jelinek HF.   +5 more
europepmc   +1 more source