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Pregled bibliografske jedinice broj: 1282848

Effect of machine learning guided hemodynamic optimization on intraoperative hypotension and outcomes in major surgery

Peršec, Jasminka
Effect of machine learning guided hemodynamic optimization on intraoperative hypotension and outcomes in major surgery // 8. Slovenski kongres anesteziologov SZAIM
Ljubljana, Slovenija, 2022. str. 381-384 (pozvano predavanje, međunarodna recenzija, sažetak, znanstveni)

CROSBI ID: 1282848 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Effect of machine learning guided hemodynamic optimization on intraoperative hypotension and outcomes in major surgery

Autori
Peršec, Jasminka

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Skup
8. Slovenski kongres anesteziologov SZAIM

Mjesto i datum
Ljubljana, Slovenija, 30.09.2022. - 02.10.2022

Vrsta sudjelovanja
Pozvano predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Hemodynamic, thoracic surgery, optimization, anesthesia

Sažetak
Use of machine guided hemodynamic optimization protocol during thoracic surgery results in significantly lower incidence of intraoperative hypotension.

Izvorni jezik
Engleski



POVEZANOST RADA

Ustanove:
Stomatološki fakultet, Zagreb,
Klinička bolnica "Dubrava",
Sveučilište u Zagrebu

Profili:

Avatar Url Jasminka Peršec (autor)

Citiraj ovu publikaciju:

Peršec, Jasminka
Effect of machine learning guided hemodynamic optimization on intraoperative hypotension and outcomes in major surgery // 8. Slovenski kongres anesteziologov SZAIM
Ljubljana, Slovenija, 2022. str. 381-384 (pozvano predavanje, međunarodna recenzija, sažetak, znanstveni)
Peršec, J. (2022) Effect of machine learning guided hemodynamic optimization on intraoperative hypotension and outcomes in major surgery. U: 8. Slovenski kongres anesteziologov SZAIM.
@article{article, author = {Per\v{s}ec, Jasminka}, year = {2022}, pages = {381-384}, keywords = {Hemodynamic, thoracic surgery, optimization, anesthesia}, title = {Effect of machine learning guided hemodynamic optimization on intraoperative hypotension and outcomes in major surgery}, keyword = {Hemodynamic, thoracic surgery, optimization, anesthesia}, publisherplace = {Ljubljana, Slovenija} }
@article{article, author = {Per\v{s}ec, Jasminka}, year = {2022}, pages = {381-384}, keywords = {Hemodynamic, thoracic surgery, optimization, anesthesia}, title = {Effect of machine learning guided hemodynamic optimization on intraoperative hypotension and outcomes in major surgery}, keyword = {Hemodynamic, thoracic surgery, optimization, anesthesia}, publisherplace = {Ljubljana, Slovenija} }

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