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Insights & biomarkers
Heart Rate
Respiratory Rate
Heart Rate Variability
ANS Balance
Morning Readiness Score
Acute Mental Stress Score
Mental Health Risk
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Mental Health Risk

General

A unique holistic approach to assess of an individual to develop a mental health condition or issue over time. A mental health condition is characterized by a relevant disturbance in an individual’s cognition, emotional regulation, or behaviour.

The IntelliProve processing engine uses a combination of machine learning informed by selected HRV metrics, facial micro expression patterns and context-based reasoning over time to determine the Mental Health Risk. This metric let the user know if their risk of mental health conditions is low, medium, or high compared to their baseline.

Note that the Mental Health Risk is based on an individual's past data, meaning it takes into account data collected over several days. To calculate Mental Health Risk, measurements must be taken at least twice every 7 days for the past 21 days. Otherwise, the null is returned. Furthermore, it is important to fill in the 'patient-ref' in the API call to process the video (refer to the API docs), so that we know which measurements belong to which patient when calculating history-based parameters.

Output

Mental Health Risk is returned as a part of the output response JSON, with the key ‘mental_health_risk’.

Output

Definition

Example Color Indicator

Example User Text

Null

Insufficient data

Grey

Not enough data present to calculate Mental Health Risk. This value is based on history of up to 3 weeks in the past.

1

Low mental health risk

Green

You have a low risk of mental health conditions.

2

Medium mental health risk

Yellow

You have a medium risk of mental health conditions.

3

High mental health risk

Red

You have a high risk of mental health conditions. We recommend that you pursue a further discussion of your situation with a physician or mental health provider.



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General
Output