The paper presents a conceptual framework for building practically applicable clinical
decision support systems (CDSSs) using data-driven (DD) predictive modelling. With the …

Chronic diabetes is one of the most common chronic diseases in the world. For health care,
this type of diabetes is one of the highest priority problems. This disease is related to many …

In this work, we propose a new approach to predictive modelling of disease complications
development. This approach is based on hybrid methods that have several advantages in …

To obtain accurate predictive models in medicine, it is necessary to use complete relevant
information about the patient. We propose an approach for extracting temporary expressions …

We present a user acceptance study of a clinical decision support system (CDSS) for Type 2
Diabetes Mellitus (T2DM) risk prediction. We focus on how a combination of data-driven and …

We present a synopsis of publications focused on machine learning (ML) or artificial
intelligence (AI) applications in healthcare for the year 2019. We appreciate the work of …