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

Tools, Programs and Algorithms (236) Machine Learning (1370) Decision Support for Health Professionals (1127) Clinical Informatics (904)

Published on in Vol 10, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32319, first published .
Using the Diagnostic Odds Ratio to Select Patterns to Build an Interpretable Pattern-Based Classifier in a Clinical Domain: Multivariate Sequential Pattern Mining Study

Using the Diagnostic Odds Ratio to Select Patterns to Build an Interpretable Pattern-Based Classifier in a Clinical Domain: Multivariate Sequential Pattern Mining Study

Using the Diagnostic Odds Ratio to Select Patterns to Build an Interpretable Pattern-Based Classifier in a Clinical Domain: Multivariate Sequential Pattern Mining Study

Authors of this article:

Isidoro J Casanova1 Author Orcid Image ;   Manuel Campos1, 2, 3 Author Orcid Image ;   Jose M Juarez1 Author Orcid Image ;   Antonio Gomariz4 Author Orcid Image ;   Marta Lorente-Ros5 Author Orcid Image ;   Jose A Lorente6, 7, 8, 9 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Casanova I, Campos M, Juarez J, Gomariz A, Canovas-Segura B, Lorente-Ros M, Lorente J. Surprising and novel multivariate sequential patterns using odds ratio for temporal evolution in healthcare. BMC Medical Informatics and Decision Making 2024;24(1) View