Interpretable Machine Learning Analysis of Stress Concentration in Magnesium: An Insight beyond the Black Box of Predictive Modeling

In the present work, machine learning (ML) was employed to build a model, and through it, the microstructural features (parameters) affecting the stress concentration (SC) during plastic deformation of magnesium (Mg)-based materials are determined.As a descriptor for the SC, the kernel average misorientation (KAM) was used, and starting from the mi

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The predictive value of ICD-10 diagnostic coding used to assess Charlson comorbidity index conditions in the population-based Danish National Registry of Patients

Abstract Background The Charlson comorbidity index is often used to control for confounding in research based on medical databases.There are few studies of the accuracy of the codes obtained from these databases.We examined the positive predictive value (PPV) trip in the woods sierra nevada of the ICD-10 diagnostic coding in the Danish National Reg

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