Intensive Care Unit (ICU)

Articles published in 2020 in this theme: 28 (scroll down to load remaining articles)

2020

View image

Social Network Analysis of Intensive Care Unit Health Care Professionals Measured by Wearable Sociometric Badges: Longitudinal Observational Study

Eiji Kawamoto, Asami Ito-Masui, Ryo Esumi, Mami Ito, Noriko Mizutani, Tomoyo Hayashi, Hiroshi Imai, Motomu Shimaoka

J Med Internet Res 2020 (Dec 31); 22(12):e23184

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Telemedicine in Intensive Care Units: Protocol for a Scoping Review

Camille Guinemer, Martin Boeker, Bjoern Weiss, Daniel Fuerstenau, Felix Balzer, Akira-Sebastian Poncette

JMIR Res Protoc 2020 (Dec 31); 9(12):e19695

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Open-Source Technology for Real-Time Continuous Glucose Monitoring in the Neonatal Intensive Care Unit: Case Study in a Neonate With Transient Congenital Hyperinsulinism

Katarina Braune, Mandy Wäldchen, Klemens Raile, Sigrid Hahn, Tebbe Ubben, Susanne Römer, Daniela Hoeber, Nora Johanna Reibel, Michael Launspach, Oliver Blankenstein, Christoph Bührer

J Med Internet Res 2020 (Dec 04); 22(12):e21770

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Unpacking Prevalence and Dichotomy in Quick Sequential Organ Failure Assessment and Systemic Inflammatory Response Syndrome Parameters: Observational Data–Driven Approach Backed by Sepsis Pathophysiology

Nazmus Sakib, Sheikh Iqbal Ahamed, Rumi Ahmed Khan, Paul M Griffin, Md Munirul Haque

JMIR Med Inform 2020 (Dec 03); 8(12):e18352

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Leveraging a Cloud-Based Critical Care Registry for COVID-19 Pandemic Surveillance and Research in Low- and Middle-Income Countries

CRIT Care Asia, Madiha Hashmi, Abi Beane, Srinivas Murthy, Arjen M Dondorp, Rashan Haniffa

JMIR Public Health Surveill 2020 (Nov 23); 6(4):e21939

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation

Pan Pan, Yichao Li, Yongjiu Xiao, Bingchao Han, Longxiang Su, Mingliang Su, Yansheng Li, Siqi Zhang, Dapeng Jiang, Xia Chen, Fuquan Zhou, Ling Ma, Pengtao Bao, Lixin Xie

J Med Internet Res 2020 (Nov 11); 22(11):e23128

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study

Hyung-Jun Kim, Deokjae Han, Jeong-Han Kim, Daehyun Kim, Beomman Ha, Woong Seog, Yeon-Kyeng Lee, Dosang Lim, Sung Ok Hong, Mi-Jin Park, JoonNyung Heo

J Med Internet Res 2020 (Nov 09); 22(11):e24225

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing

Jose Luis Izquierdo, Julio Ancochea, Savana COVID-19 Research Group, Joan B Soriano

J Med Internet Res 2020 (Oct 28); 22(10):e21801

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Clinical Predictive Models for COVID-19: Systematic Study

Patrick Schwab, August DuMont Schütte, Benedikt Dietz, Stefan Bauer

J Med Internet Res 2020 (Oct 06); 22(10):e21439

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Clinical Mortality in a Large COVID-19 Cohort: Observational Study

Mark Jarrett, Susanne Schultz, Julie Lyall, Jason Wang, Lori Stier, Marcella De Geronimo, Karen Nelson

J Med Internet Res 2020 (Sep 25); 22(9):e23565

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Using Item Response Theory for Explainable Machine Learning in Predicting Mortality in the Intensive Care Unit: Case-Based Approach

Adrienne Kline, Theresa Kline, Zahra Shakeri Hossein Abad, Joon Lee

J Med Internet Res 2020 (Sep 25); 22(9):e20268

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Association of Social Network Use With Increased Anxiety Related to the COVID-19 Pandemic in Anesthesiology, Intensive Care, and Emergency Medicine Teams: Cross-Sectional Web-Based Survey Study

Thomas Clavier, Benjamin Popoff, Jean Selim, Marion Beuzelin, Melanie Roussel, Vincent Compere, Benoit Veber, Emmanuel Besnier

JMIR Mhealth Uhealth 2020 (Sep 24); 8(9):e23153

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Understanding the Steps Toward Mobile Early Intervention for Mothers and Their Infants Exiting the Neonatal Intensive Care Unit: Descriptive Examination

Kathleen M Baggett, Betsy Davis, Susan H Landry, Edward G Feil, Anna Whaley, Alana Schnitz, Craig Leve

J Med Internet Res 2020 (Sep 22); 22(9):e18519

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Rapid Implementation and Innovative Applications of a Virtual Intensive Care Unit During the COVID-19 Pandemic: Case Study

Atiya Dhala, Farzan Sasangohar, Bita Kash, Nima Ahmadi, Faisal Masud

J Med Internet Res 2020 (Sep 03); 22(9):e20143

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Decompensation in Critical Care: Early Prediction of Acute Heart Failure Onset

Patrick Essay, Baran Balkan, Vignesh Subbian

JMIR Med Inform 2020 (Aug 07); 8(8):e19892

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

A Predictive Model Based on Machine Learning for the Early Detection of Late-Onset Neonatal Sepsis: Development and Observational Study

Wongeun Song, Se Young Jung, Hyunyoung Baek, Chang Won Choi, Young Hwa Jung, Sooyoung Yoo

JMIR Med Inform 2020 (Jul 31); 8(7):e15965

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Reinforcement Learning for Clinical Decision Support in Critical Care: Comprehensive Review

Siqi Liu, Kay Choong See, Kee Yuan Ngiam, Leo Anthony Celi, Xingzhi Sun, Mengling Feng

J Med Internet Res 2020 (Jul 20); 22(7):e18477

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Novel Interface Designs for Patient Monitoring Applications in Critical Care Medicine: Human Factors Review

Evismar Andrade, Leo Quinlan, Richard Harte, Dara Byrne, Enda Fallon, Martina Kelly, Siobhan Casey, Frank Kirrane, Paul O'Connor, Denis O'Hora, Michael Scully, John Laffey, Patrick Pladys, Alain Beuchée, Gearóid ÓLaighin

JMIR Hum Factors 2020 (Jul 03); 7(3):e15052

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Understanding the Association Between Electronic Health Record Satisfaction and the Well-Being of Nurses: Survey Study

Saif Khairat, Lin Xi, Songzi Liu, Shilpa Shrestha, Charles Austin

JMIR Nursing 2020 (Jun 23); 3(1):e13996

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section

View image

Improvements in Patient Monitoring in the Intensive Care Unit: Survey Study

Akira-Sebastian Poncette, Lina Mosch, Claudia Spies, Malte Schmieding, Fridtjof Schiefenhövel, Henning Krampe, Felix Balzer

J Med Internet Res 2020 (Jun 19); 22(6):e19091

Download Citation: END BibTex RIS

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn

View abstract

Download PDF Download XML

Go back to the top of the page Skip and go to footer section