Triadic concept analysis for insights extraction from longitudinal studies in healthOA
Triadic concept analysis for insights extraction from longitudinal studies in health
João Pedro Santos;Atílio Ferreira Silva;Mark Alan Junho Song;Luis Enrique Zárate
Department of Computer Science,Applied Computational Intelligence Laboratory-LICAP,Pontifical Catholic University of Minas Gerais,Belo Horizonte,30535-901,BrazilDepartment of Computer Science,Applied Computational Intelligence Laboratory-LICAP,Pontifical Catholic University of Minas Gerais,Belo Horizonte,30535-901,BrazilDepartment of Computer Science,Applied Computational Intelligence Laboratory-LICAP,Pontifical Catholic University of Minas Gerais,Belo Horizonte,30535-901,BrazilDepartment of Computer Science,Applied Computational Intelligence Laboratory-LICAP,Pontifical Catholic University of Minas Gerais,Belo Horizonte,30535-901,Brazil
Data miningLongitudinal data miningTriadic rulesMedical informaticsClinical data processingTriadic concept analysis
Data miningLongitudinal data miningTriadic rulesMedical informaticsClinical data processingTriadic concept analysis
《数据科学与管理（英文）》 2025 (2)
160-173,14
The authors thank the National Council for Scientific and Techno-logical Development of Brazil(CNPQ)the Coordination for the Improvement of Higher Education Personnel-Brazil(CAPES)(Grant PROAP 88887.842889/2023-00-PUC/MG,Grant PDPG 88887.708960/2022-00-PUC/MG-Informática and Finance Code 001)Minas Gerais State Research Support Foundation(FAPEMIG)under Grant No.APQ-01929-22,Pontifical Catholic University of Minas Gerais,Brazil.
评论