Machine learning for medical processing: algorithms and analysis

Abstract

Machine learning models with well recognized algorithms such as deep learning convolutional neural network and decision trees are widely used to support healthcare worker with variety of tasks. This paper surveyed researches involving diagnose of COVID-19 as well as image analysis in cell segmentation. To make their model efficient and accurate, researchers applied methods such as decision trees with gradient boosting, Chi-square automatic interaction detection decision tree and CNN. In each research, the team had adjustments to fit their goals better and as a result, showing more potential to improve the models for health services.