Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data-Reference-Cited by-同舟云学术

Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data

Published:2023-12-05 Issue: Volume: Page:2207-2212
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Sena Jessica¹,Bandyopadhyay Sabyasachi²,Mostafiz Mohammad Tahsin²,Davidson Andrea³,Guan Ziyuan³,Barreto Jesimon¹,Ozrazgat-Baslanti Tezcan³,Tighe Patrick⁴,Bihorac Azra³,Schwartz William Robson¹,Rashidi Parisa²

Affiliation:

1. Federal University of Minas Gerais,Department of Computer Science,Belo Horizonte,Brazil

2. University of Florida,J. Crayton Pruitt Family Department of Biomedical Engineering,Gainesville,USA

3. University of Florida,Intelligent Critical Care Center,Gainesville,Florida,USA

4. University of Florida,College of Medicine,Department of Anesthesiology,Gainesville,Florida

Funder

National Institute of General Medical Sciences

National Institute of Biomedical Imaging and Bioengineering

National Institute of Neurological Disorders and Stroke

National Institute of Diabetes and Digestive and Kidney Diseases

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385764.pdf?arnumber=10385764

Reference19 articles.

1. The Impact of Pain Assessment on Critically Ill Patients’ Outcomes: A Systematic Review

2. The Impact of Pain Assessment on Critically Ill Patients’ Outcomes: A Systematic Review

3. Intensive care nurses’ assessment of pain in patients who are mechanically ventilated: How a pilot study helped to influence practice;Bourbonnais;Canadian Journal of Critical Care Nursing,2016

4. Pain Assessment Is Associated with Decreased Duration of Mechanical Ventilation in the Intensive Care Unit

5. Communicating With Mechanically Ventilated Patients: State of the Science

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