A machine-learning approach to predicting hypotensive events in ICU settings-Reference-Cited by-同舟云学术

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A machine-learning approach to predicting hypotensive events in ICU settings

Published:2020-03 Issue: Volume:118 Page:103626
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Moghadam Mina Chookhachizadeh,Abad Ehsan Masoumi Khalil,Bagherzadeh Nader,Ramsingh Davinder,Li Guann-Pyng,Kain Zeev N.

Funder

Edwards LifeSciences

Merck

Pacira Pharmaceuticals

Masimo Corporation

National Institute of Health

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference24 articles.

1. Review and update on inotropes and vasopressors;Cooper;AACN Adv. Crit. Care,2008

2. The relationship between ICU hypotension and in-hospital mortality and morbidity in septic patients;Maheshwari;Intensive Care Med.,2018

3. Management of intraoperative hypotension: prediction, prevention and personalization;Scheeren,2018

4. Relationship between intraoperative hypotension, defined by either reduction from baseline or absolute thresholds, and acute kidney and myocardial injury after noncardiac surgery: a retrospective cohort analysis;Salmasi;Anesthesiology,2017

5. Period-dependent associations between hypotension during and for four days after noncardiac surgery and a composite of myocardial infarction and death: a substudy of the POISE-2 trial;Sessler;Anesthesiology,2018

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1. A flexible framework for coding and predicting acute hypotensive episodes using Markov chains;Knowledge-Based Systems;2024-01

2. Predicting Blood Pressure After Nitroglycerin Infusion Dose Titration in Critical Care Units;CIN: Computers, Informatics, Nursing;2023-12-19

3. DoseFormer: Dynamic Graph Transformer for Postoperative Pain Prediction;Electronics;2023-08-18

4. Adaptive Learning and AI to Support Medication Management;2023 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC);2023-06-19

5. Prediction of acute hypertensive episodes in critically ill patients;Artificial Intelligence in Medicine;2023-05

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