Jose Manuel
Juarez Herrero

Profesores Titulares de Universidad

A Methodology Based on Subgroup Discovery to Generate Reduced Subgroup Sets for Patient Phenotyping
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies

Discovering Diverse Top-K Characteristic Lists
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Novel Approach for Phenotyping Based on Diverse Top-K Subgroup Lists
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
VLSD—An Efficient Subgroup Discovery Algorithm Based on Equivalence Classes and Optimistic Estimate
Algorithms, Vol. 16, Núm. 6

A methodology based on Trace-based clustering for patient phenotyping
Knowledge-Based Systems, Vol. 232
Phenotypes for Resistant Bacteria Infections Using an Efficient Subgroup Discovery Algorithm
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Exploring Antimicrobial Resistance Prediction Using Post-hoc Interpretable Methods
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Improving interpretable prediction models for antimicrobial resistance
Proceedings - IEEE Symposium on Computer-Based Medical Systems
Interpretable patient subgrouping using trace-based clustering
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Metodología basada en agrupamiento y visualizaci ón para el fenotipado de pacientes
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España