Comparison of Selected Machine Learning Algorithms in the Analysis of Mental Health Indicators

A Bieliński, I Rojek, D Mikołajewski - Electronics, 2023 - mdpi.com
Machine learning is increasingly being used to solve clinical problems in diagnosis, therapy
and care. Aim: the main aim of the study was to investigate how the selected machine …

“Intelligent Systems for Clinical Care and Remote Patient Monitoring”

G Sannino, A Celesti, I De Falco - Sensors, 2023 - mdpi.com
The year 2020 was definitely like no other. COVID-19 shut down the world, and its spread
and resulting impact led to a global crisis of unprecedented reach and proportion. This virus …

[PDF][PDF] Artificial intelligence in the design and production of personalized 3D printed products—Conclusions from the project “Things are for People”

D Mikołajewski, I Rojek, M Kaczmarek, P Kotlarz… - Mechanik, 2023 - mechanik.media.pl
This article is a development of a paper presented at the International Conference
“Intelligent Solutions for Industry–ISI 2022”, under the media patronage of the “Mechanik” …

[PDF][PDF] Selected determinants of occupational stress and burnout in physiotherapists and IT professionals Wybrane uwarunkowania stresu zawodowego i wypalenia …

D Mikołajewski, J Masiak, E Mikołajewska - 2023 - apcz.umk.pl
Stres i wypalenie zawodowe są związane z grupą zawodową, przy czym grupa zawodowa
fizjoterapeutów doświadcza ich z większym nasileniem niż grupa zawodowa informatyków …

Selected determinants of occupational stress and burnout in physiotherapists and IT professionals

D Mikołajewski, J Masiak, E Mikołajewska - Journal of Education …, 2023 - apcz.umk.pl
Materials and methods Two groups were recruited for the study: study group
(physiotherapists, n= 50), reference group (IT professionals, n= 50). Five clinimetric scales …