DIAQNOSTIC analytic model is based on scientifically validated “Air pollution health risk assessment (AP-HRA)” approach.
The proprietary mathematical model of DIAQNOSTIC is supplemented by projection onto personal exposure. Personal exposure takes into account the individual’s movement patterns, medical history, body factors (e.g. metabolism) and lifestyle. Our algorithms calculate exposure profiles and health risk scores, adapting to the conditions of each user.
etc.
DIAQNOSTIC creates set of Rule Engines to interpret data inputs, predict diagnosis and deliver personalised recommendations. The Rule Engines integrates medical logic, behavioural science, and environmental standards to generate targeted prompts for prevention, nutrition, supplements, and activity management.
All recommendation logic, thresholds, and reference data are stored within our curated Scientific Library. This library is continuously updated in collaboration with our scientific board and health partners to reflect regional specifics and evolving research.
