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A Methodology Based on Subgroup Discovery to Generate Reduced Subgroup Sets for Patient Phenotyping.

, , , and . BIOSTEC (2), page 346-353. SCITEPRESS, (2024)

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A methodology based on Trace-based clustering for patient phenotyping., , , and . Knowl. Based Syst., (2021)VLSD - An Efficient Subgroup Discovery Algorithm Based on Equivalence Classes and Optimistic Estimate., , , and . Algorithms, 16 (6): 274 (June 2023)Novel Approach for Phenotyping Based on Diverse Top-K Subgroup Lists., , , , and . AIME, volume 13897 of Lecture Notes in Computer Science, page 45-50. Springer, (2023)A Methodology Based on Subgroup Discovery to Generate Reduced Subgroup Sets for Patient Phenotyping., , , and . BIOSTEC (2), page 346-353. SCITEPRESS, (2024)Exploring Antimicrobial Resistance Prediction Using Post-hoc Interpretable Methods., , , , , , and . KR4HC/ProHealth/TEAAM@AIME, volume 11979 of Lecture Notes in Computer Science, page 93-107. Springer, (2019)Improving Interpretable Prediction Models for Antimicrobial Resistance., , , , , , and . CBMS, page 543-546. IEEE, (2019)Phenotypes for Resistant Bacteria Infections Using an Efficient Subgroup Discovery Algorithm., , , and . AIME, volume 12721 of Lecture Notes in Computer Science, page 246-251. Springer, (2021)Interpretable Patient Subgrouping Using Trace-Based Clustering., , , , , and . AIME, volume 11526 of Lecture Notes in Computer Science, page 269-274. Springer, (2019)Discovering Diverse Top-K Characteristic Lists., , , , and . IDA, volume 13876 of Lecture Notes in Computer Science, page 262-273. Springer, (2023)