A stacking ensemble model for predicting the occurrence of carotid atherosclerosis
X Zhang, C Tang, S Wang, W Liu, W Yang… - Frontiers in …, 2024 - frontiersin.org
Background Carotid atherosclerosis (CAS) is a significant risk factor for cardio-
cerebrovascular events. The objective of this study is to employ stacking ensemble machine …
cerebrovascular events. The objective of this study is to employ stacking ensemble machine …
[HTML][HTML] An ensemble-based stage-prediction machine learning approach for classifying fetal disease
D Dash, M Kumar - Healthcare Analytics, 2024 - Elsevier
Fetal diseases often lead to the death of many babies during pregnancies. Machine learning
and deep learning are promising technologies providing efficient and effective detection and …
and deep learning are promising technologies providing efficient and effective detection and …
[HTML][HTML] Efficient Heart Disease Classification Through Stacked Ensemble with Optimized Firefly Feature Selection
K Natarajan, V Vinoth Kumar, TR Mahesh… - International Journal of …, 2024 - Springer
In the current century, heart-related sickness is one of the important causes of death for all
humans. An estimated 17.5 million deaths occur due to heart disease worldwide. It is …
humans. An estimated 17.5 million deaths occur due to heart disease worldwide. It is …
A Novel Active Learning Technique for Fetal Health Classification Based on Xgboost Classifier
N Goyal, B Mittal, V Sharma - papers.ssrn.com
Ensuring safe pregnancy and reducing maternal and infant mortality rates require
addressing factors that affect fetal health. The application of machine learning algorithms in …
addressing factors that affect fetal health. The application of machine learning algorithms in …