ŠÍN, Petr, Alica HOKYNKOVÁ, Andrea POKORNÁ, Marie NOVÁKOVÁ, Rostislav KRČ and Jan PODROUŽEK. Prediction of pressure ulcers using modular critical care data and machine learning methodology. In EWMA 2023, Milan. 2023.
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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
Original language English
Type of outcome Conference abstract
Field of Study 30212 Surgery
Country of publisher Italy
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14110/23:00134708
Organization unit Faculty of Medicine
Keywords in English pressure ulcers
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 26/4/2024 11:22.
Abstract
Prediction of pressure ulcers using modular critical care data and machine learning methodology - conference abstract.
Links
NU21-09-00541, research and development projectName: Role oxidativního stresu při hojení dekubitů u pacientů s míšní lézí
Investor: Ministry of Health of the CR, Subprogram 1 - standard
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