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Novel Approach for Phenotyping Based on Diverse Top-K Subgroup Lists.

, , , , и . AIME, том 13897 из Lecture Notes in Computer Science, стр. 45-50. Springer, (2023)

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Benjamín Martínez López

Daniel López Martínez

José Antonio López

Antonio López-Méndez

Antonio Martínez-Rubio

 

Другие публикации лиц с тем же именем

Novel Approach for Phenotyping Based on Diverse Top-K Subgroup Lists., , , , и . AIME, том 13897 из Lecture Notes in Computer Science, стр. 45-50. Springer, (2023)Subgroups: A Python library for Subgroup Discovery., , , и . SoftwareX, (2024)Interpretable Patient Subgrouping Using Trace-Based Clustering., , , , , и . AIME, том 11526 из Lecture Notes in Computer Science, стр. 269-274. Springer, (2019)Phenotypes for Resistant Bacteria Infections Using an Efficient Subgroup Discovery Algorithm., , , и . AIME, том 12721 из Lecture Notes in Computer Science, стр. 246-251. Springer, (2021)Discovering Diverse Top-K Characteristic Lists., , , , и . IDA, том 13876 из Lecture Notes in Computer Science, стр. 262-273. Springer, (2023)Exploring Antimicrobial Resistance Prediction Using Post-hoc Interpretable Methods., , , , , , и . KR4HC/ProHealth/TEAAM@AIME, том 11979 из Lecture Notes in Computer Science, стр. 93-107. Springer, (2019)Improving Interpretable Prediction Models for Antimicrobial Resistance., , , , , , и . CBMS, стр. 543-546. IEEE, (2019)A Methodology Based on Subgroup Discovery to Generate Reduced Subgroup Sets for Patient Phenotyping., , , и . BIOSTEC (2), стр. 346-353. SCITEPRESS, (2024)