Computer-Aided Decision Support System for Hepatic Encephalopathy
Funding agency: Slovak research and development agency under contract APVV-16-0211
Principal investigator:doc. Ing. Peter Drotár, PhD.
Funding: 246 910 EUR
Project duration: Jun 2017 - Jun 2021
The goal of this project is to provide deep speech and handwriting analysis and investigate whether speech and
handwriting can be used for diagnosis and monitoring of hepatic encephalopathy and whether there exists
relationship between speech, handwriting and other biomarkers in hepatic encephalopathy. The number of novel
signal processing algorithms, which reveal alteration in handwriting and speech more accurately than existing
approaches, are proposed, giving rise to new group of features. The robust feature selection algorithms select
the optimal subset of these features, which are fed into non-parametric regression and classification algorithms,
mapping the signal processing algorithm outputs to stage of hepatic encephalopathy. Even though proposed
project is focused on particular disease, we expect that some of the outputs, such as new features will be
applicable also for other diseases.