TY  - GEN
AU  - Scavuzzo, Carlos Matias
AU  - Scavuzzo, Juan Manuel
AU  - Campero, Micaela Natalia
AU  - Anegagrie, Melaku
AU  - Amor Aramendia, Aranzazu
AU  - Benito, Agustin
AU  - Periago, Victoria
PY  - 2022
DO  - 10.1016/j.idm.2022.01.004
SN  - 2468-0427
UR  - http://hdl.handle.net/20.500.12105/14462
AB  - 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...
LA  - eng
PB  - Elsevier
KW  - Ethiopia
KW  - Hookworm
KW  - Machine learning
KW  - Remote sensing
KW  - Shap
KW  - Shapley
TI  - Feature importance: Opening a soil-transmitted helminth machine learning model via SHAP
TY  - research article
ER  -