a 2023

Prediction of pressure ulcers using modular critical care data and machine learning methodology

ŠÍN, Petr, Alica HOKYNKOVÁ, Andrea POKORNÁ, Marie NOVÁKOVÁ, Rostislav KRČ et. al.

Basic information

Original name

Prediction of pressure ulcers using modular critical care data and machine learning methodology

Authors

ŠÍN, Petr (203 Czech Republic), Alica HOKYNKOVÁ (703 Slovakia, belonging to the institution), Andrea POKORNÁ (203 Czech Republic, belonging to the institution), Marie NOVÁKOVÁ (203 Czech Republic, belonging to the institution), Rostislav KRČ (203 Czech Republic, belonging to the institution) and Jan PODROUŽEK (203 Czech Republic, belonging to the institution)

Edition

EWMA 2023, Milan, 2023

Other information

Language

English

Type of outcome

Konferenční abstrakt

Field of Study

30212 Surgery

Country of publisher

Italy

Confidentiality degree

není předmětem státního či obchodního tajemství

RIV identification code

RIV/00216224:14110/23:00134708

Organization unit

Faculty of Medicine

Keywords in English

pressure ulcers
Změněno: 26/4/2024 11:22, Mgr. Tereza Miškechová

Abstract

V originále

Prediction of pressure ulcers using modular critical care data and machine learning methodology - conference abstract.

Links

NU21-09-00541, research and development project
Name: Role oxidativního stresu při hojení dekubitů u pacientů s míšní lézí
Investor: Ministry of Health of the CR, Subprogram 1 - standard