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Keyword: Hypertensive

Effects of Oversampling SMOTE in the Classification of Hypertensive Dataset

by Nurhafifah Matondang and Nico Surantha

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 4, Page # 432–437, 2020; DOI: 10.25046/aj050451

Abstract:

Hypertensive or high blood pressure is a medical condition that can be driven by several factors. These factors or variables are needed to build a classification model of the hypertension dataset. In the construction of classification models, class imbalance problems are often found due to oversampling. This research aims to obtain the best classification model…

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(This article belongs to Section Artificial Intelligence in Computer Science (CAI))

Finding Association Patterns of Disease Co-occurrence by using Closed Association Rule Generation

by Panida Songram, Phattanaphong Chompowiset and Chatklaw Jareanpon

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 5, Page # 645–651, 2020; DOI: 10.25046/aj050579

Abstract:

This paper proposes a closed association rule generation technique to investigate the association patterns of diseases that are frequent co-occurrence. Diseases records of 5,000 patients are studied to find the association patterns of disease co-occurrence. The CHARM algorithm is adapted to find frequent diseases that can cover all-important patterns with a small number. Then the…