- 1/3 of depression cases are undiagnosed.
- Depression can lead to high blood pressure, heart disease, stroke, cancer and suicide.
- Depression prevents people from fully functioning at work and in personal lives.
-Our behaviour-monitoring tools help detect early patterns of depression via integration of mobile and wearable device sensor data with NLP analysis of texts and social network data and voice/emotion analytics.
Our algorithm is based on the same criteria used by the traditional depression diagnostic tools and includes quality of sleep, levels of fatigue and physical activity, change in whereabouts, food intake, level of social interaction, decision-making ability and emotional state.
-We will license the solution (provide an SDK) to healthcare providers, insurers and researchers and provide professional services to those companies in case consumer application development is required.
- We will partner with companies, healthcare providers and payers interested in receiving alerts of signs of early depression. At that point, insurer or healthcare provider will intervene with further diagnostic measures and treatment, if required.
-Our algorithm is not built to replace standard depression diagnostic methods – it is meant to provide a widely accessible tool that will provide initial alerts that can be used to follow up with other diagnostic methods.