Assessment of the influence of features on a classification problem: an application to COVID-19 patients

DOI10.1016/j.ejor.2021.09.027zbMath1490.62154arXiv2104.14958OpenAlexW3202854161MaRDI QIDQ2077933

Laura Davila-Pena, Balbina V. Casas Méndez, Ignacio Garcia-Jurado

Publication date: 23 February 2022

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2104.14958

zbMATH Keywords

classificationShapley valuemachine learningCOVID-19influence of features

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Cooperative games (91A12)

Related Items (2)

A stochastic inventory model of COVID-19 and robust, real-time identification of carriers at large and infection rate via asymptotic laws ⋮ Introduction to the special issue on Data Science for COVID-19

Uses Software

• shap

Cites Work

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