tensorflow/keras

Ischemic Stroke Risk Assessment

The goal of this project was to develop an AI backend engine for an intelligent decision support system which asses an ischemic stroke risk. The system was developed to allow preventive interventions for patients with high risk of a stroke. In collaboration with a health insurer we collected historical electronic health record, social-demographic data, and quality of life related data to train and evaluate machine learning models. The data was analyzed to find which aspects present in the collected datasets had the highest impact on the ischemic stroke risk.

Predicting Blood Transfusion Needs

The goal of this project was to develop an AI-backed intelligent decision support system assisting medical doctors to make decision about blood transfusion. In collaboration with multiple hospitals we collected historical data about blood transfusions, patients, and medical tests relevant to blood transfusion. The data was analyzed to find which aspects present in the collected datasets had the highest impact on a decision if blood transfusion had been executed or not.