Deimantavicius, Mantas
Chaleckas, Edvinas
Boere, Katherine
Putnynaite, Vilma
Tamosuitis, Tomas
Tamasauskas, Arimantas
Kavaliauskas, Mindaugas
Rocka, Saulius
Preiksaitis, Aidanas
Vosylius, Saulius
Krakauskaite, Solventa
Berskiene, Kristina
Petkus, Vytautas
Ragauskas, Arminas
Funding for this research was provided by:
Research Council of Lithuania (MIP-20-216, MIP-20-216, MIP-20-216, MIP-20-216, MIP-20-216)
Research and Innovation Fund of Kaunas University of Technology (PP54/203, PP54/203, PP54/203, PP54/203)
Research Fund of Lithuanian University of Health Sciences (OptSPS-DI, OptSPS-DI)
EU Structural Funds, Promotion of Post-Doctoral Fellowships (09.3.3-LMT-K-712-19-0023)
Article History
Received: 12 December 2021
Accepted: 17 October 2022
First Online: 22 October 2022
Competing interests
: V.Pe., M.D., E.C., S.R. and K.Be. received a research grant from the Research Council of Lithuania (Grant No. MIP-20-216). V.Pe., M.K. and E.C. received a research grant from the Research and Innovation Fund of Kaunas University of Technology (Grant No. PP54/203). A.T. and T.T. received a research grant from the Research Fund of the Lithuanian University of Health Sciences (Grant No. PP54/203). S.K. received a research grant from the EU Structural Funds, Promotion of Post-Doctoral Fellowships (Grant No. 09.3.3-LMT-K-712-19-0023). V.Pe., M.D., E.C., M.K., A.R., A.P. and T.T. are coauthors of the developed ML-based software tool for ICU multimodal monitoring data analysis and CPPopt, ABPopt, or LLCA/ULCA identification. A.R., S.V., A.P., V.Pu. and K.Bo. declare no potential conflict of interest.