Improving an intelligent detection system for coronary heart disease using a two‐tier classifier ensemble

BA Tama, S Im, S Lee - BioMed Research International, 2020 - Wiley Online Library
Coronary heart disease (CHD) is one of the severe health issues and is one of the most
common types of heart diseases. It is the most frequent cause of mortality across the globe …

Tree-based classifier ensembles for early detection method of diabetes: an exploratory study

BA Tama, KH Rhee - Artificial Intelligence Review, 2019 - Springer
Diabetes is a lifestyle-driven disease which has become a critical health issue worldwide. In
this paper, we conduct an exploratory study about early detection method of diabetes …

A comparative performance evaluation of classification algorithms for clinical decision support systems

BA Tama, S Lim - Mathematics, 2020 - mdpi.com
Classification algorithms are widely taken into account for clinical decision support systems.
However, it is not always straightforward to understand the behavior of such algorithms on a …

A comprehensive medical decision–support framework based on a heterogeneous ensemble classifier for diabetes prediction

S El-Sappagh, M Elmogy, F Ali, T Abuhmed, SMR Islam… - Electronics, 2019 - mdpi.com
Early diagnosis of diabetes mellitus (DM) is critical to prevent its serious complications. An
ensemble of classifiers is an effective way to enhance classification performance, which can …

A study about principle component analysis and eigenface for facial extraction

Erwin, M Azriansyah, N Hartuti… - Journal of Physics …, 2019 - iopscience.iop.org
Facial recognition is one of the most successful applications of image analysis and
understanding. This paper presents a Principal Component Analysis (PCA) and eigenface …

Decision tree combined with PSO-based feature selection for sentiment analysis

R Primartha, BA Tama, A Arliansyah… - Journal of Physics …, 2019 - iopscience.iop.org
Sentiment analysis can be considered as a classification task in natural language
processing as it harnesses classification algorithm to predict a particular class in a text data …

In-depth analysis of neural network ensembles for early detection method of diabetes disease

BA Tama, KH Rhee - International Journal of Medical …, 2018 - inderscienceonline.com
Lifestyle-driven disease such as diabetes mellitus has become a serious health problem
worldwide. We propose the fusion of neural network-based classifiers, ie, neural network …

MEGA: Predicting the best classifier combination using meta-learning and a genetic algorithm

P Golshanrad, H Rahmani, B Karimian… - Intelligent Data …, 2021 - content.iospress.com
Classifier combination through ensemble systems is one of the most effective approaches to
improve the accuracy of classification systems. Ensemble systems are generally used to …

A comparative study of classifier ensembles for detecting inactive learner in university

BA Tama, KH Rhee - International Journal of Data Analysis …, 2018 - inderscienceonline.com
Prediction of undesirable learner's behaviours is an important issue in the distance learning
system as well as the conventional university. This paper is devoted to benchmark ensemble …

A cloud-based data mining framework for improved clinical diagnosis through parallel classification

YV Lokeswari, SG Jacob - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
Healthcare Organizations have been dealing with rapidly growing Electronic Health
Records (EHRs) and digital images. Maintaining high volumes of medical data leads to …