This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1396) Data Science (265) Machine Learning (1452) Decision Support for Health Professionals (1179)

Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18766, first published .
Classification Accuracy of Hepatitis C Virus Infection Outcome: Data Mining Approach

Classification Accuracy of Hepatitis C Virus Infection Outcome: Data Mining Approach

Classification Accuracy of Hepatitis C Virus Infection Outcome: Data Mining Approach

Authors of this article:

Mario Frias1 Author Orcid Image ;   Jose M Moyano2, 3 Author Orcid Image ;   Antonio Rivero-Juarez1 Author Orcid Image ;   Jose M Luna2, 3 Author Orcid Image ;   Ángela Camacho1 Author Orcid Image ;   Habib M Fardoun4 Author Orcid Image ;   Isabel Machuca1 Author Orcid Image ;   Mohamed Al-Twijri4 Author Orcid Image ;   Antonio Rivero1 Author Orcid Image ;   Sebastian Ventura2, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

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  2. Nazari Nezhad S, Zahedi M, Farahani E. Detecting diseases in medical prescriptions using data mining methods. BioData Mining 2022;15(1) View