HELPSALUD: Analysis of medical data based on ML techniques and web tools for health applications

This document reports on the results obtained after the completion of the project HELPSALUD2. The main objective of the project was to provide an innovative solution that combines the use of Big Data infrastructure (storage and distributed processing) with Artificial Intelligence algorithms in order to provide novel solutions related to health research challenges. This document reports on the Machine Learning techniques developed during the project and applied on datasets in the field of health, making use of the Big Data Analytics platform deployed during the project. The main objective has been to generate predictive models in order to provide diagnostics helping medical staff in decision-making. Because of this work, several data analysis, in the context of different diseases, are presented: breast cancer, acute myeloid leukaemia, endometriosis and Diabetes mellitus type two. Finally, conclusions are drawn.Project funded by the Valencian Institute of Business Competitiveness (IVACE) with 1.567.566€. File number: IMAMCN/2018/