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Uncovering the Most and the Least Factors Affecting Elderly Health Using Association Mining
Author(s) -
Nichnan Kittiphattanabawon
Publication year - 2022
Publication title -
ecti transactions on computer and information technology (ecti-cit)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.132
H-Index - 2
ISSN - 2286-9131
DOI - 10.37936/ecticit.2022162.246993
Subject(s) - government (linguistics) , association (psychology) , affect (linguistics) , gerontology , health care , association rule learning , health problems , elderly people , cardiovascular health , environmental health , medicine , psychology , disease , data mining , computer science , political science , pathology , philosophy , linguistics , communication , law , psychotherapist

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