SAPIENS

SAPIENS

SAPIENS

Health learning system from medical electronic registers and open geo-located data
SAPIENS-Alcance

Importance

SAPIENS project wants to promote a platform that helps to health professional to make decisions, encouraging the early detection in some environments of illnesses related to allergies.

Moreover, it aspires to get recommendations and proposes to the definition of health politics.

SAPIENS-Desafío

Challenge

Application of new technologies to combine historic data of health and hospital management with other open data fonts, identifying smart data, detecting interrelationships, predicting tendencies and launching hypothesis.

Technology use as Cognitive Computing, Machine Learning, Natural Language Processing, Open Data, Entities Reconciliation, Predictive Analysis and Data Science.

Our Solution

Asistencia
Attendance
Helping the health professional to make decisions, supporting in the management and the following of illnesses and letting the early detection of some illnesses.
Analítica
Predictive analysis
Using and obtaining useful knowledge from every data font, in order to get that information exchange be easy, direct and effective.
Reconciliación
Data reconciliation
Defining and developing process of responsibility, standardisation and temporary and geographic reference of all the information, to facilitate its use.

Consortium of project

The consortium of SAPIENS project is formed by three Andalucian companies: Servinform, Emergya y Singular.
SAPIENS-consorcio
  • Servinform, as experts in the OpenData process, data reconciliation and predictive analysis.
  • Emergya, as experts in Digital Medical Record, Big Data, Machine Learning and expert systems in the clinical field.
  • Sngular, as experts in cognitive computing and natural language processing.

This project has been co-financed by the Ministerio de Ciencia Innovación and Universities and the Centro para el Desarrollo Tecnológico Industrial (CDTI)

Project number: EXP 00111158 / ITC-20181050
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