Chronic kidney disease (CKD) is a worldwide public health problem, usually diagnosed in the late stages of disease. To alleviate such issue, investment early prediction necessary. The purpose this study to assist CKD, addressing problems related imbalanced and limited-size datasets. We used data from medical records Brazilians with or without diagnosis containing following attributes: hypertens...

Verbal feedback is an important information source in establishing interactional rapport. However, predicting verbal feedback across languages is challenging due to languagespecific differences, inter-speaker variation, and the relative sparseness and optionality of verbal feedback. In this paper, we employ an approach combining classifier weighting and SMOTE algorithm oversampling to improve v...

Most medical datasets are not balanced in their class labels. Indeed in some cases it has been no ticed that the given class labels do not accurately represent characteristics of the data record. Most existing classification methods tend not to perform well on minority class examples when the dataset is extremely imbalanced. This is because they aim to optimize the overall accuracy without cons...

The most frequently used approach for imbalance learning is resampling. In this technique, the minority class oversampled. Most of algorithms purpose are variants well-known algorithm named as SMOTE, which based on creating synthetic samples lines connecting selected instances. mainly designed to alleviate shortcomings SMOTE where, idea generating avoid bias majority preserved. This study aims ...

The financial status of an enterprise is related to its healthy and long-term development, whether the interests investors bank loans can be guaranteed. To improve prediction accuracy corporate risk, this paper proposes a model for risk that integrates GRA-TOPSIS SMOTE-CNN. First, using make comprehensive evaluation situation listed companies. Second, results are clustered obtain scientific lev...

Diabetes mellitus is a disease that attacks chronic metabolism, characterized by the body’s inability to process carbohydrates, fats so glucose levels are high. sixth cause of death in world. Classifying data about diabetes makes it easier predict disease. As technology develops, can be detected using machine learning methods. The method done support vector machine. advantage SVM very effective...

The Internet of Things (IoT) has rapidly transformed digital environments across a multitude domains with increased connectivity and pervasive virtualization. distributed computing paradigm Edge Computing been postulated to overcome the concerns response time, bandwidth, energy consumption, cybersecurity. In comparison other concerns, limited studies have focused on cybersecurity, mainly due in...