We apply the power of Machine Learning (ML) and Big Data to forecast the patient's progress using a traffic light indication system.
Edge AI
We provide instant results from the personalised ML models, with no internet. This reduces latency significantly and allows the patient to conduct the breath test anywhere.
ML Models
It predicts a 3- up to 5-day window to show the future progress of the patient. Our models are personalised for each patient to increase accuracy.
Data Analysis
All patient records are saved automatically on the cloud and analysed to increase future result's reliability.
Indication System
A traffic light indication system is implemented to alert patients of their future progress.
Forecasting
The patient's progress is predicted using supervised learning and a personalised ML model.
History
Each patient's history can be accessed through a secure Android Application and on the AND cloud.
