Service: Geo Machine Learning for Health

Responsible organisation: Aria Spa (Local Government)

In this project we look at patients suffering from respiratory diseases, in particular respiratory insufficiency, chronic obstructive pulmonary disease (COPD) and asthma. In particular, by applying machine learning techniques we are able to determine what we have defined UMTA or Minimum Unit Territorial Aggregation. A kind of geographical area where they are assisted aggregates characterized by homogeneous sanitary properties, still related to the tracers above cited defined by the Regional Logical Epidemic Observatory

Additional information

Source Open Innovation Regione Lombardia
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Start/end date 2021 -
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