TY  - GEN
AU  - Sánchez-de-Madariaga, Ricardo
AU  - Martinez-Romo, Juan
AU  - Cantero-Escribano, José M
AU  - Araujo, Lourdes
PY  - 2022
DO  - 10.1186/s12911-022-01755-3
UR  - http://hdl.handle.net/20.500.12105/14424
AB  - Background: Association Rules are one of the main ways to represent structural patterns underlying raw data. They represent dependencies between sets of observations contained in the data. The associations established by these rules are very useful in...
LA  - eng
PB  - BioMed Central (BMC)
KW  - Association rules discovery
KW  - Machine learning
KW  - Medical records
KW  - Semi-supervised approach
TI  - Semi-supervised incremental learning with few examples for discovering medical association rules
TY  - research article
ER  -