Data Mining

2 papers with code • 0 benchmarks • 0 datasets

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VLSD—An Efficient Subgroup Discovery Algorithm Based on Equivalence Classes and Optimistic Estimate

antoniolopezmc/subgroups Algorithms 2023

Subgroup Discovery (SD) is a supervised data mining technique for identifying a set of relations (subgroups) among attributes from a dataset with respect to a target attribute.

14
29 May 2023

A methodology based on Trace-based clustering for patient phenotyping

antoniolopezmc/A-methodology-based-on-Trace-based-clustering-for-patient-phenotyping Knowledge-Based Systems 2021

Methods: We propose a new unsupervised machine learning technique, denominated as Trace-based clustering, and a 5-step methodology in order to support clinicians when identifying patient phenotypes.

4
28 Nov 2021