Intensive Care Unit (ICU)

Risk Factors Associated With Nonfatal Opioid Overdose Leading to Intensive Care Unit Admission: A Cross-sectional Study

Avijit Mitra, Hiba Ahsan, Wenjun Li, Weisong Liu, Robert D Kerns, Jack Tsai, William Becker, David A Smelson, Hong Yu

JMIR Med Inform 2021 (Nov 08); 9(11):e32851

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Event Prediction Model Considering Time and Input Error Using Electronic Medical Records in the Intensive Care Unit: Retrospective Study

MinDong Sung, Sangchul Hahn, Chang Hoon Han, Jung Mo Lee, Jayoung Lee, Jinkyu Yoo, Jay Heo, Young Sam Kim, Kyung Soo Chung

JMIR Med Inform 2021 (Nov 04); 9(11):e26426

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Telemedicine in Intensive Care Units: Scoping Review

Camille Guinemer, Martin Boeker, Daniel Fürstenau, Akira-Sebastian Poncette, Björn Weiss, Rudolf Mörgeli, Felix Balzer

J Med Internet Res 2021 (Nov 03); 23(11):e32264

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Assessing Neonatal Intensive Care Unit Structures and Outcomes Before and During the COVID-19 Pandemic: Network Analysis Study

Hannah Mannering, Chao Yan, Yang Gong, Mhd Wael Alrifai, Daniel France, You Chen

J Med Internet Res 2021 (Oct 20); 23(10):e27261

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Pediatric Chronic Critical Illness: Protocol for a Scoping Review

David Zorko, James Dayre McNally, Bram Rochwerg, Neethi Pinto, Rachel Couban, Katie O’Hearn, Karen Choong

JMIR Res Protoc 2021 (Oct 01); 10(10):e30582

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A Machine Learning Sepsis Prediction Algorithm for Intended Intensive Care Unit Use (NAVOY Sepsis): Proof-of-Concept Study

Inger Persson, Andreas Östling, Martin Arlbrandt, Joakim Söderberg, David Becedas

JMIR Form Res 2021 (Sep 30); 5(9):e28000

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Predicting Patient Deterioration: A Review of Tools in the Digital Hospital Setting

Kay D Mann, Norm M Good, Farhad Fatehi, Sankalp Khanna, Victoria Campbell, Roger Conway, Clair Sullivan, Andrew Staib, Christopher Joyce, David Cook

J Med Internet Res 2021 (Sep 30); 23(9):e28209

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Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study

Carson Lam, Chak Foon Tso, Abigail Green-Saxena, Emily Pellegrini, Zohora Iqbal, Daniel Evans, Jana Hoffman, Jacob Calvert, Qingqing Mao, Ritankar Das

JMIR Form Res 2021 (Sep 14); 5(9):e28028

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An Artificial Neural Network–Based Pediatric Mortality Risk Score: Development and Performance Evaluation Using Data From a Large North American Registry

Niema Ghanad Poor, Nicholas C West, Rama Syamala Sreepada, Srinivas Murthy, Matthias Görges

JMIR Med Inform 2021 (Aug 31); 9(8):e24079

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Overview and Strategy Analysis of Technology-Based Nonpharmacological Interventions for In-Hospital Delirium Prevention and Reduction: Systematic Scoping Review

Chan Mi Kim, Esther M van der Heide, Thomas J L van Rompay, Gijsbertus J Verkerke, Geke D S Ludden

J Med Internet Res 2021 (Aug 26); 23(8):e26079

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Development and Validation of Unplanned Extubation Prediction Models Using Intensive Care Unit Data: Retrospective, Comparative, Machine Learning Study

Sujeong Hur, Ji Young Min, Junsang Yoo, Kyunga Kim, Chi Ryang Chung, Patricia C Dykes, Won Chul Cha

J Med Internet Res 2021 (Aug 11); 23(8):e23508

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A Simple Ventilator Designed To Be Used in Shortage Crises: Construction and Verification Testing

Daniel S Akerib, Andrew Ames, Martin Breidenbach, Michael Bressack, Pieter A Breur, Eric Charles, David M Gaba, Ryan Herbst, Christina M Ignarra, Steffen Luitz, Eric H Miller, Brian Mong, Tom A Shutt, Matthias Wittgen

JMIR Biomed Eng 2021 (Aug 05); 6(3):e26047

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Smartphone Delivery of Cognitive Behavioral Therapy for Postintensive Care Syndrome-Family: Protocol for a Pilot Study

Amy B Petrinec, Joel W Hughes, Melissa D Zullo, Cindy Wilk, Richard L George

JMIR Res Protoc 2021 (Aug 04); 10(8):e30813

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A Machine Learning–Based Algorithm for the Prediction of Intensive Care Unit Delirium (PRIDE): Retrospective Study

Sujeong Hur, Ryoung-Eun Ko, Junsang Yoo, Juhyung Ha, Won Chul Cha, Chi Ryang Chung

JMIR Med Inform 2021 (Jul 26); 9(7):e23401

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In-hospital Mortality and the Predictive Ability of the Modified Early Warning Score in Ghana: Single-Center, Retrospective Study

Enoch Joseph Abbey, Jennifer S R Mammen, Samara E Soghoian, Maureen A F Cadorette, Promise Ariyo

JMIRx Med 2021 (Jul 12); 2(3):e24645

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Ambulatory Risk Models for the Long-Term Prevention of Sepsis: Retrospective Study

Jewel Y Lee, Sevda Molani, Chen Fang, Kathleen Jade, D Shane O'Mahony, Sergey A Kornilov, Lindsay T Mico, Jennifer J Hadlock

JMIR Med Inform 2021 (Jul 08); 9(7):e29986

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How New Mexico Leveraged a COVID-19 Case Forecasting Model to Preemptively Address the Health Care Needs of the State: Quantitative Analysis

Lauren A Castro, Courtney D Shelley, Dave Osthus, Isaac Michaud, Jason Mitchell, Carrie A Manore, Sara Y Del Valle

JMIR Public Health Surveill 2021 (Jun 09); 7(6):e27888

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Patient Monitoring Alarms in an Intensive Care Unit: Observational Study With Do-It-Yourself Instructions

Akira-Sebastian Poncette, Maximilian Markus Wunderlich, Claudia Spies, Patrick Heeren, Gerald Vorderwülbecke, Eduardo Salgado, Marc Kastrup, Markus A Feufel, Felix Balzer

J Med Internet Res 2021 (May 28); 23(5):e26494

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Examining the Feasibility of Early Mobilization With Virtual Reality Gaming Using Head-Mounted Display and Adaptive Software With Adolescents in the Pediatric Intensive Care Unit: Case Report

Byron Lai, Maegen Powell, Anne Grace Clement, Drew Davis, Erin Swanson-Kimani, Leslie Hayes

JMIR Rehabil Assist Technol 2021 (May 27); 8(2):e28210

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Authors’ Reply to: Minimizing Selection and Classification Biases Comment on “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, Joan B Soriano

J Med Internet Res 2021 (May 26); 23(5):e29405

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