[HTML][HTML] Comparison of Convolutional Neural Networks and Support Vector Machines on Medical Data: A Review
Medical image processing has become an integral part of disease diagnosis, where
technological advancements have brought significant changes to this approach. In this …
technological advancements have brought significant changes to this approach. In this …
[PDF][PDF] Optimal tree depth in decision tree classifiers for predicting heart failure mortality
TA Assegie, A Elaraby - Healthcraft Front, 2023 - researchgate.net
The depth of a decision tree (DT) affects the performance of a DT classifier in predicting
mortality caused by heart failure (HF). A deeper tree learns complex patterns within the data …
mortality caused by heart failure (HF). A deeper tree learns complex patterns within the data …
Health Data Analysis for In-Depth Understanding of Patterns, Prediction, and Disease Management: A Case Study on Diabetes Mellitus
SB Mustamin, M Atnang, S Sahriani… - … Journal of Science …, 2024 - jurnal.istekaisyiyah.ac.id
The present study aims to address the intricate nature of diabetes mellitus by employing
data analysis to gain profound insights into individual health patterns, predict risks of …
data analysis to gain profound insights into individual health patterns, predict risks of …