Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
IEEE

DT-GA-FLANN: Decision Tree-Based Genetically Optimized FLANN for Missing Value Imputation ...

Abstract: In the current landscape, addressing missing values poses a significant challenge when dealing with real-world problems. In this work, a hybrid model, DT-GA-FLANN, is proposed to address the ...
IEEE

Tabular Data Classification and Regression: XGBoost or Deep Learning With Retrieval ...

Abstract: Tabular data is the most prevalent form of structured data, necessitating robust models for classification and regression tasks. Traditional models like eXtreme Gradient Boosting (XGBoost) ...
GitHub

Efficient tree-based nonlinear anchor regression and classification for Python.

article{londschien2025, title={Domain Generalization and Adaptation in Intensive Care with Anchor Regression}, author={Londschien, Malte, Burger, Manuel, R{\"a}tsch ...
GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
Frontiers

Fuzzy decision-tree regression model and its application to measure some climate change factors

Here, we employed the decision tree approach as a primary tool, relying on it to construct a regression model for the fuzzy data of both study variables. In the previous section, we presented the ...