Evidence-Based Behavior (eB2) is a technology start-up that develops Machine Learning  based solutions for behavior evaluation. 

We present an integrated eHealth solution for the functional evaluation of psychiatric patients that provides useful and interpretable information for the clinicians, caregivers and patients, contributing to a better management of mental diseases.

Our aim is to help and support mental health patients to deal with their disorder and improve their quality of life, using patient’s behavior measurement and characterisation to answer an existing clinical need. We propose a solution easy to use, personalised, non intrusive, automatic, and clinically validated. We are changing the way in which patients with mental illnesses are monitored and treated by clinicians achieving three main objectives:

To transform the patient’s behavior into useful data by converting day to day actions into actionable insights.

To predict the behavior reliably by applying scientific psychological models and methods from Artificial Intelligence.

To continuously improve our solutions, capturing feedback and establishing personalised models using Machine Learning.

Evidence-Based Behavior

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