Mental Health Risk (coming soon)

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General

A unique holistic approach to assess the risk to develop a mental health condition or issue of an individual over time. A mental health condition is characterized by a clinically significant 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.
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Output
Mental Health Risk is returned as ‘Low’, ‘Medium’ or ‘High’ 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.
Low
Low mental health risk
Green
You have a low risk of mental health conditions.
Medium
Medium mental health risk
Yellow
You have a medium risk of mental health conditions.
High
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.

TABLE OF CONTENTS

General

Output

Output	Definition	Example Color Indicator	Example User Text
Null	Insufficient data	Grey	Not enough data present to calculate Mental Health Risk.
Low	Low mental health risk	Green	You have a low risk of mental health conditions.
Medium	Medium mental health risk	Yellow	You have a medium risk of mental health conditions.
High	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.