• Introduction
• DISCLAIMER
• Getting Started
• Contributing
  • Contributors
• Versioning
• License
• Bugs/Issues

An Acute Myeloid Leukemia diagnostics project based on the research outlined in Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics by Stefanie WarnatHerresthal, Konstantinos Perrakis, Bernd Taschler, Torsten Haferlach, Sach Mukherjee & Joachim L. Schultze.

DEVELOPER TO EXPLAIN/UPDATE THE PROJECT DETAILS

Theis project should be used for research purposes only. The purpose of the project is to show the potential of Artificial Intelligence for medical support systems such as diagnostics systems.

Although the classifier is accurate and shows good results both on paper and in real world testing, it is not meant to be an alternative to professional medical diagnosis.

Salvatore Raieli is a bioinformatician researcher and PhD in Immunology, but does not work in medical diagnosis.

Please use this system responsibly.

To get started follow the getting started guide to find out how to fork the repository.

Asociación de Investigacion en Inteligencia Artificial Para la Leucemia Peter Moss encourages and welcomes code contributions, bug fixes and enhancements from the Github.

Please read the CONTRIBUTING document for a full guide to forking our repositories and submitting your pull requests. You will also find information about our code of conduct on this page.

• Salvatore Raieli - Asociacion De Investigation En Inteligencia Artificial Para La Leucemia Peter Moss Research & Development (Bioinformatics & Immunology), Bologna, Italy

We use SemVer for versioning.

This project is licensed under the MIT License - see the LICENSE file for details.

We use the repo issues to track bugs and general requests related to using this project. See CONTRIBUTING for more info on how to submit bugs, feature requests and proposals.