Sade is using an array of cutting edge technologies, managed by top professionals in order to Integrate continuous real world health data with collective wisdom and artificial intelligence. All components and the platform as a whole are HIPAA & GDPR compliant.
By analysing the performance of millions of different feature-combinations and feature scaling, the neural network will not only extract relevant features, but will also engineer new relevant features based on the existing data.
The use of boosting algorithms and neural network will enable Asaya platform to indicate, which of the patient-features have a higher correlation with treatment outcome and use then accordingly. For example, given a patient’s medical history, Asaya platform will tell that a specific disease (i.e. type-II diabetes) is more associated with treatment outcome than another (i.e. psoriasis).
Asaya platform varies its ML algorithms as the data is accumulated
We use a decision-tree based on modeled knowledge gathered from therapists, academic researches, and official guidelines. This decision-tree takes the patient’s data through a series of queries, and based on the gathered knowledge, then outputs the suitable chemovars, titration protocols and strains for the patient.
Mass-data from patients’ feedback trigger a collaborative filtering algorithm that is used to perform a multi-patient comparison of personal details and experiences, in order to provide the patient with the most suitable treatment, based on other patients’ collective experiences. We also integrate boosting algorithms, which can rank features based on their influence on the treatment recommendation and the between-patient comparison
We build a robust architecture that enables easy integration with variable sources of data such as: Connected Medical Devices transmitting dosage details and time-stamps, wearables recording physio-metrics and more. Such data becomes another module in Asaya’s Machine Learning infrastructure.
We know the value of each data point and aspire for as many quality data points – therefore we invest in a simple to implement Application Protocol Interface (API), that will encourage integration and win-win with our partners – the open architecture enabling integrating two types of connected devices:
To better understand how Asaya’s big data analytics and our partners IoT devices work together, we can outline the overall flow: