Prediction of indicators through machine learning and anomaly detection: a case study in the supplementary health system in Brazil
The research aimed to investigate the stages of a Machine Learning model process creation in order to predict the indicator over the number of medical appointments per day done in the area of supplementary health in the region of Porto Alegre / RS - Brazil and to propose a metric for anomalies det...
| Autor principal: | |
|---|---|
| Outros Autores: | |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2021
|
| Assuntos: | |
| Texto completo: | https://doi.org/10.14807/ijmp.v12i8.1481 |
| País: | Brasil |
| Oai: | oai:www.ijmp.jor.br:article/1481 |