This R&D project aims to create a Platform that, through an Expert System and ML and Big Data Analysis Algorithms, acts predictively to detect diseases, specifically stroke.
The main idea of this project is that the system will self-learn so that it can launch early warnings. In this way, the Decision Support System (DSS) will alert the clinician when a risk situation is detected so that the appropriate measures can be taken.
Andalusian Health Service
SAS (Andalusian Health Service) has a support of 92.934 professionals(annual average)in order to assist its welfare network: 24.436 for primary medical attention and 68.498 for hospital care.
Diraya is the system used for the Andalusian Public Health System as support for the electronic medical history.
Data mining and KDD application of standard processes applied to the construction of cerebrovascular diseases categorizers according to the HCE.
State of the arte enhancements
Creation of an expert system of sanitary software based on Big data, Machine learning and automatic learning Algorithms, capable of discovering hidden symptomatology in electronic records that are not considered or properly evaluated nowadays.
This detection must be used to feed a Decision Support System (DSS) that warns the doctor when it detects a hazardous situation.
The project has been co-financed by the Ministry of Energy, Tourism and Digital Agenda.