Machine Learning-based Prediction tool for COVID-19 from Hematological Indices data

   This webpage serves as a diagnostic tool for the rapid screening of COVID-19 cases using basic hematological parameters. It employs an Extreme Gradient Boosting machine learning model to facilitate detection. The objective is to offer a more cost-effective and time-efficient alternative to the conventional standard quantitative reverse-transcription polymerase chain reaction (qRT-PCR) test.



   Two classifier models are available, selected based on feature availability: one requiring only four hematological parameters and another needing fourteen parameters for prediction of COVID-19 disease.


DISCLAIMER

   This website implements an experimental machine learning-based approach for COVID-19 screening and is provided solely for research and educational purposes. This tool is NOT intended for use in clinical diagnosis, treatment decisions, or patient care.

   The system has not been clinically validated, has not received regulatory clearance or approval from the FDA or any other regulatory authority, and should not be considered a medical device or diagnostic instrument. The accuracy, reliability, and clinical utility of results generated by this tool have not been established through rigorous clinical trials.

   Nothing on this website constitutes medical advice, diagnosis, or treatment. Users should not make any healthcare decisions based on information or results provided by this tool. Always consult qualified healthcare professionals for medical advice, diagnosis, and treatment decisions.

LIMITATION OF LIABILITY

   TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAW, THE AUTHORS, DEVELOPERS, AND AFFILIATED INSTITUTIONS EXPRESSLY DISCLAIM ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT.

   IN NO EVENT SHALL THE AUTHORS, DEVELOPERS, OR AFFILIATED INSTITUTIONS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING BUT NOT LIMITED TO LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) ARISING IN ANY WAY OUT OF THE USE OF THIS TOOL, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.

   By using this website, you acknowledge that you have read, understood, and agree to be bound by this disclaimer.

   For further details on this method, please refer to Safdari, A., Bandyopadhyay, D., et al. "The External Validity of Machine Learning-Based Prediction Scores from Hematological Parameters of COVID-19: A Study Using Hospital Records from Brazil, Italy, and Western Europe." PLOS ONE, Public Library of Science (PLoS), 4 Feb. 2025.