Feature importance: Opening a soil-transmitted helminth machine learning model via SHAP

Feature importance: Opening a soil-transmitted helminth machine learning model via SHAP

In the field of landscape epidemiology, the contribution of machine learning (ML) to modeling of epidemiological risk scenarios presents itself as a good alternative. This study aims to break with the ”black box” paradigm that underlies the application of automatic learning techniques by using SHAP...

Full description

Bibliographic Details
Main Authors: Carlos Matias Scavuzzo, Juan Manuel Scavuzzo, Micaela Natalia Campero, Melaku Anegagrie, Aranzazu Amor Aramendia, Agustín Benito, Victoria Periago
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-03-01
Series:Infectious Disease Modelling
Subjects:
Shap
Shapley
Machine learning
Remote sensing
Hookworm
Ethiopia
Online Access:http://www.sciencedirect.com/science/article/pii/S2468042722000045

Similar Items

Similar Items