A novel approach for breast cancer detection using optimized ensemble learning framework and XAI
Breast cancer (BC) is a common and highly lethal ailment. It stands as the second leading
contributor to cancer-related deaths in women worldwide. The timely identification of this …
contributor to cancer-related deaths in women worldwide. The timely identification of this …
White blood cells classification using multi-fold pre-processing and optimized CNN model
White blood cells (WBCs) play a vital role in immune responses against infections and
foreign agents. Different WBC types exist, and anomalies within them can indicate diseases …
foreign agents. Different WBC types exist, and anomalies within them can indicate diseases …
Improving Healthcare Prediction of Diabetic Patients Using KNN Imputed Features and Tri-Ensemble Model
K Alnowaiser - IEEE Access, 2024 - ieeexplore.ieee.org
Objective: Diabetes ranks as the most prevalent ailment in developing nations. Vital steps to
mitigate the consequences of diabetes include early detection and expert medical …
mitigate the consequences of diabetes include early detection and expert medical …
[HTML][HTML] Clinical applications of artificial intelligence in diabetes management: A bibliometric analysis and comprehensive review
A Daza, AJ Olivos-López, MC Pizarro… - Informatics in Medicine …, 2024 - Elsevier
Background Diabetes is one of the most common pathologies today and has become a
constant problem in public health worldwide. Objective The purpose of this study is to …
constant problem in public health worldwide. Objective The purpose of this study is to …
Integrated feature selection and ensemble learning for heart disease detection: a 2-tier approach with ALAN and ET-ABDF machine learning model
A Mandula, BS Vijaya Kumar - International Journal of Information …, 2024 - Springer
The findings of this investigation give a novel approach to the forecasting of heart disease.
For the purpose of determining significant features, it is a 2-tier procedure that uses a …
For the purpose of determining significant features, it is a 2-tier procedure that uses a …
An automated approach to predict diabetic patients using KNN imputation and effective data mining techniques
Diabetes is thought to be the most common illness in underdeveloped nations. Early
detection and competent medical care are crucial steps in reducing the effects of diabetes …
detection and competent medical care are crucial steps in reducing the effects of diabetes …
A deep neural network prediction method for diabetes based on Kendall's correlation coefficient and attention mechanism
X Qi, Y Lu, Y Shi, H Qi, L Ren - Plos one, 2024 - journals.plos.org
Diabetes is a chronic disease, which is characterized by abnormally high blood sugar levels.
It may affect various organs and tissues, and even lead to life-threatening complications …
It may affect various organs and tissues, and even lead to life-threatening complications …
GKN-Stack: An ensemble deep learning framework for blood glucose forecasting based on medical examination data
L Li, H Zhang, R Song - IEEE Access, 2024 - ieeexplore.ieee.org
Objective: Diabetes patients are closely related to blood glucose levels. Predicting blood
glucose levels through routine blood test data can provide auxiliary diagnosis for diabetes …
glucose levels through routine blood test data can provide auxiliary diagnosis for diabetes …
Breast cancer detection employing stacked ensemble model with convolutional features
Breast cancer is a major cause of female deaths, especially in underdeveloped countries. It
can be treated if diagnosed early and chances of survival are high if treated appropriately …
can be treated if diagnosed early and chances of survival are high if treated appropriately …
Comparison of diabetes pre-risk prediction models
K Han, Q Sun, J He, X Zhang, X Cheng… - … on Future of …, 2024 - spiedigitallibrary.org
In the field of medicine, disease prevention is more important than treatment. Diabetes, as
one of the diseases that are harmful and have a large number of patients, the prediction of …
one of the diseases that are harmful and have a large number of patients, the prediction of …