Alexander is the Data Science leader at poder.IO. He is responsible for data flow architecture and insight mining, all powered by machine learning. Before joining poder.IO, Alexander made an academic career at Belarusian State University and Minsk Innovation University where he was Head of the Informatics and Mathematics Department.
Predicting medical tests results using Driverless AI
The goal of the research was to develop an approach to predict individual medical test results based on longitudinal medical and pharma claims data without direct lab measures using data-driven techniques. Such discoveries may result in improved treatment strategies. In the presentation we demonstrate how Driverless AI was used both for estimating highly accurate model and results explanations.
