Abnormality Detection of Effluent Dialysate Images on Continuous Ambulatory Peritoneal Dialysis Using Deep Learning
Continuous Ambulatory Peritoneal Dialysis (CAPD) offers independent dialysis for chronic
kidney disease (CKD) patients in Indonesia, enhancing quality of life. However, high …
kidney disease (CKD) patients in Indonesia, enhancing quality of life. However, high …
Enhanced Biased Weights AdaBoost Algorithm for Diabetes Detection on Imbalanced Dataset
A Ansari, B Kadam, S Barve… - 2023 14th International …, 2023 - ieeexplore.ieee.org
The paper proposes a new approach to improve multi-fault diabetes diagnosis using
ensemble learning-biased weights with AdaBoost algorithm on unbalanced datasets. The …
ensemble learning-biased weights with AdaBoost algorithm on unbalanced datasets. The …
Analyzing Oversampling and Machine Learning Approaches for Imbalanced Dataset Classification
DA Navastara, C Fatichah, Y Niza… - 2023 IEEE 21st …, 2023 - ieeexplore.ieee.org
Imbalanced data, characterized by a substantial difference in data distribution between
majority and minority classes, poses a critical challenge in predictive modeling. This …
majority and minority classes, poses a critical challenge in predictive modeling. This …
A Weighted Two-Level Ensemble Model for Sentiment Analysis of Finance Minister of Indonesia
WF Satrya, R Aprilliyani - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The performance of ensemble learning depends on the performance of each weak learner.
Assuming all weak learners are equal may lead to poor results. Therefore, determining the …
Assuming all weak learners are equal may lead to poor results. Therefore, determining the …
Chronic Disease Classification for Healthcare Facility Recommendation System
DA Navastara, K Andersen… - … Conference on Modeling …, 2023 - ieeexplore.ieee.org
Chronic diseases are a major cause of the global burden of disease, causing widespread
death and disability worldwide. However, the underdevelopment of medical facilities in …
death and disability worldwide. However, the underdevelopment of medical facilities in …
Comparing Methods For Detecting And Mitigating Bias In Machine Learning Models
A Bhise, S Mali, P Joshi, S Mohabe… - 2023 IEEE Fifth …, 2023 - ieeexplore.ieee.org
As these models have the potential to both reinforce and generate new inequities, bias in
machine learning models has a substantial influence. It is important to address and mitigate …
machine learning models has a substantial influence. It is important to address and mitigate …