Pulse nav.journalClub Trends Entdecken Fragen Forschende

Download the App

Join discussions, follow papers, and never miss your next session.

© Synapse Social LLC, 2026Datenschutz

Start Entdecken nav.journalClub Trends

⌘+K

Research Paper | Synapse

February 17, 2020Open Access

Wirkung eines maschinellen Lernens abgeleiteten Frühwarnsystems für intraoperative Hypotonie im Vergleich zur Standardversorgung auf Tiefe und Dauer der intraoperativen Hypotonie während der elektiven nicht-kardiologischen Chirurgie

Key Points

Key points are not available for this paper at this time.

Abstract

ClinicalTrials.gov Identifier: NCT03376347.

Like

Bookmark

Share

View Full Paper

Like

Bookmark

Share

View Full Paper

Cite This Study

Wijnberge et al. (Mon,) untersuchten diese Frage.

synapsesocial.com/papers/69effb46afa91c76b5d0a7e4 https://doi.org/https://doi.org/10.1001/jama.2020.0592

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1The use of a machine-learning algorithm that predicts hypotension during surgery in combination with personalized treatment guidance: study protocol for a randomized clinical trial2019 · 26 citations
2Evaluating the collection, comparability and findings of six global surgery indicators2018 · 111 citations
3Classification of Surgical Complications2004 · 30,809 citations
4Major adverse cardiac events in elderly patients with coronary artery disease undergoing noncardiac surgery: A multicenter prospective study in China2015 · 50 citations
5Intraoperative reduction of vasopressors using processed electroencephalographic monitoring in patients undergoing elective cardiac surgery: a randomized clinical trial2019 · 20 citations