BACKGROUND Leprosy, a neglected tropical disease caused by Mycobacterium leprae, presents significant public health challenges in Brazil due to its slow progression, dermato-neurological ...
Introduction This document outlines the technical specifications for a two-agent system designed to perform automated clustering analysis, iterative evaluation, hyperparameter optimization, scheduled ...
ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...
Introduction: Young patients with acute coronary syndrome (ACS) exhibit diverse demographic, clinical and angiographic characteristics. Hypothesis: We hypothesized that unsupervised machine learning ...
Artificial Intelligence (AI) has revolutionized numerous industries, from healthcare to finance. It empowers machines to learn from data, make intelligent decisions, and solve complex problems. Let’s ...
This appendix provides an example on how to apply the k-prototypes clustering algorithm in R, which is an open-source programming language that is mainly used for data processing and statistical ...
This is a project for the monitoring of the evolution of the parallel histories of entities that evolve in parallel. This is a new, that builds upon the previous Plutarch_Parallel_Lives (attn to the ...
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