TY  - JOUR
AU  - Frias, Mario
AU  - Moyano, Jose M
AU  - Rivero-Juarez, Antonio
AU  - Luna, Jose M
AU  - Camacho, Angela
AU  - Fardoun, Habib M
AU  - Machuca, Isabel
AU  - Al-Twijri, Mohamed
AU  - Rivero, Antonio
AU  - Ventura, Sebastian
PY  - 2020
DO  - 10.2196/18766
UR  - http://hdl.handle.net/10668/17227
T2  - Journal of medical Internet research
AB  - The dataset from genes used to predict hepatitis C virus outcome was evaluated in a previous study using a conventional statistical methodology. The aim of this study was to reanalyze this same dataset using the data mining approach in order to find...
LA  - en
PB  - JMIR Publications
KW  - HIV/HCV
KW  - PART
KW  - Classification accuracy
KW  - Data mining
KW  - Ensemble
KW  - Algorithms
KW  - Data mining
KW  - Hepacivirus
KW  - Humans
TI  - Classification Accuracy of Hepatitis C Virus Infection Outcome: Data Mining Approach.
TY  - research article
VL  - 23
ER  -