The aim of this I+D draft report is to cretae a platform so that, by means of an Expert System and ML analysis algorithms and Big Data, can serve in a predictive way to detect diseases, especially ictus.
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 a expert system of sanitary software based on Big data, Machine learning and automatic learning Algorithms,capable of discovering hidden simptomatology in electronic records that are not considered or properly valuated 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.