Performance on Respiratory Crisis Risk Dataset
Abstract
This notebook documents the performance analysis of various machine learning models applied to the Respiratory Crisis Risk dataset available on kaggle as reported into the file. The analysis is organized into two sections, each evaluating model performance on a distinct version of the dataset. The `ModelTester` class, utilized for data preprocessing and model evaluation, is available in the GitHub repository .
Fields of Study & Subjects
Artificial Intelligence in Healthcare
Machine Learning in Healthcare
Non-Invasive Vital Sign Monitoring
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 22 January 2026
- Language
- EN
- Document type
- Book