Insights & biomarkers

Mental Health Risk

A unique holistic approach to assess the risk 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.

How is it calculated?
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 lets 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. To calculate Mental Health Risk, the user needs to have performed health scans for the past three weeks. At least two health scans per week are required. 
Otherwise, the null value 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.
How can it be used? 
When working preventively, it is crucial to identify potential negative trends. While experiencing one bad day may not indicate a high risk of developing a mental health condition, an ongoing series of negative experiences or a long-term downward trend can be critical. A common example of this is individuals who are on the path to burnout. They may start accumulating stress, leading to a decline in sleep quality, and often remain in denial about their feelings until a breaking point occurs. With the Mental Health Risk initiative, our aim is to raise awareness among users about the possibility of a breakdown and encourage early intervention.
Providing users with a risk score will raise awareness about potential concerns, such as moving towards a long-term absence. When a high risk is detected, users can be recommended to schedule a call with a therapist for further support and guidance. 
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Insights
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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Acute Mental Stress Score

Resonant Breathing Score

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TABLE OF CONTENTS

How is it calculated?

How can it be used?

Insights

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.