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

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 ...
IEEE

Individual Tree Species Classification Using Airborne Hyperspectral Imagery And Lidar Data

Abstract: In this study high spatial resolution (1 m) hyperspectral images and LiDAR data (8p/m 2) was applied to discriminate among tree species of mixed forest. The main objective of this study was ...