Predictors for extubation failure in COVID-19 patients using a machine learning approach

被引：0

作者：

Lucas M. Fleuren

Tariq A. Dam

Michele Tonutti

Daan P. de Bruin

Robbert C. A. Lalisang

Diederik Gommers

Olaf L. Cremer

Rob J. Bosman

Sander Rigter

Evert-Jan Wils

Tim Frenzel

Dave A. Dongelmans

Remko de Jong

Marco Peters

Marlijn J. A. Kamps

Dharmanand Ramnarain

Ralph Nowitzky

Fleur G. C. A. Nooteboom

Wouter de Ruijter

Louise C. Urlings-Strop

Ellen G. M. Smit

D. Jannet Mehagnoul-Schipper

Tom Dormans

Cornelis P. C. de Jager

Stefaan H. A. Hendriks

Sefanja Achterberg

Evelien Oostdijk

Auke C. Reidinga

Barbara Festen-Spanjer

Gert B. Brunnekreef

Alexander D. Cornet

Walter van den Tempel

Age D. Boelens

Peter Koetsier

Judith Lens

Harald J. Faber

A. Karakus

Robert Entjes

Paul de Jong

Thijs C. D. Rettig

Sesmu Arbous

Sebastiaan J. J. Vonk

Mattia Fornasa

Tomas Machado

Taco Houwert

Hidde Hovenkamp

Roberto Noorduijn Londono

Davide Quintarelli

Martijn G. Scholtemeijer

Aletta A. de Beer

机构：

[1] Vrije Universiteit,Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC

[2] Erasmus Medical Center,Department of Intensive Care

[3] UMC Utrecht,Department of Intensive Care

[4] ICU,Department of Anesthesiology and Intensive Care

[5] OLVG,Department of Intensive Care

[6] St. Antonius Hospital,Department of Intensive Care Medicine

[7] Franciscus Gasthuis and Vlietland,Department of Intensive Care Medicine

[8] Radboud University Medical Center,Intensive Care

[9] Amsterdam UMC,Intensive Care

[10] Bovenij Ziekenhuis,Intensive Care

[11] Canisius Wilhelmina Ziekenhuis,Department of Intensive Care

[12] Catharina Ziekenhuis Eindhoven,Intensive Care

[13] ETZ Tilburg,Intensive Care

[14] HagaZiekenhuis,Department of Intensive Care Medicine

[15] Laurentius Ziekenhuis,Intensive Care

[16] Northwest Clinics,Intensive Care

[17] Reinier de Graaf Gasthuis,Intensive Care

[18] Spaarne Gasthuis,Intensive Care

[19] VieCuri Medisch Centrum,Department of Intensive Care

[20] Zuyderland MC,Intensive Care

[21] Jeroen Bosch Ziekenhuis,ICU

[22] Albert Schweitzerziekenhuis,ICU

[23] Haaglanden Medisch Centrum,ICU, SEH, BWC

[24] Maasstad Ziekenhuis Rotterdam,Intensive Care

[25] Martiniziekenhuis,Department of Intensive Care

[26] Ziekenhuis Gelderse Vallei,Department of Intensive Care

[27] Ziekenhuisgroep Twente,Department of Intensive Care

[28] Medisch Spectrum Twente,Intensive Care

[29] Ikazia Ziekenhuis Rotterdam,Department of Intensive Care

[30] Antonius Ziekenhuis Sneek,Department of Anesthesia and Intensive Care

[31] Medisch Centrum Leeuwarden,Department of Anesthesiology, Intensive Care and Pain Medicine

[32] ICU,Department of Intensive Care

[33] IJsselland Ziekenhuis,Department of Neurology

[34] ICU,Quantitative Data Analytics Group, Department of Computer Science, Faculty of Science

[35] WZA,Business Intelligence

[36] Diakonessenhuis Hospital,Department of Intensive Care Medicine, Amsterdam UMC

[37] Department of Intensive Care,Department of Intensive Care

[38] Slingeland Ziekenhuis,Department of Anesthesiology, Pain Management and Intensive Care

[39] Amphia Ziekenhuis,Department of ICMT

[40] LUMC,Department of Intensive Care Medicine

[41] BigData Republic,Department of Internal Medicine and Intensive Care

[42] Amsterdam UMC,Department of Clinical Epidemiology

[43] Universiteit Van Amsterdam,Department of Pulmonology

[44] Vrije Universiteit,Department of Intensive Care

[45] Haaglanden MC,ICU

[46] Universiteit Van Amsterdam,Department of Information Technology

[47] BovenIJ Ziekenhuis,Department of Pulmonology

[48] Catharina Ziekenhuis Eindhoven,Department of Intensive Care Medicine

[49] Haga Ziekenhuis,Intensive Care

[50] Radboud University Medical Centre,MUMC+

来源：

Critical Care | / 25卷

关键词：

Extubation; Prediction; Risk factors; Extubation failure;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

共 50 条

[31] Rapid Thrombogenesis Prediction in Covid-19 Patients Using Machine Learning
Lee, Joong-Lyul
Alwajidi, Safaa
Tree, Mike
Cristobal, Angelo
Zhao, Haitao
ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2023, PT II, 2023, 676 : 373 - 384
[32] Survival Analysis of COVID-19 Patients in Russia Using Machine Learning
Metsker, Oleg
Kopanitsa, Georgy
Yakovlev, Alexey
Veronika, Karlina
Zvartau, Nadezhda
PHEALTH 2020: PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON WEARABLE MICRO AND NANO TECHNOLOGIES FOR PERSONALIZED HEALTH, 2020, 273 : 223 - 227
[33] Machine Learning Approach for COVID-19 Detection on Twitter
Amin, Samina
Uddin, M. Irfan
Al-Baity, Heyam H.
Zeb, M. Ali
Khan, M. Abrar
CMC-COMPUTERS MATERIALS & CONTINUA, 2021, 68 (02): : 2231 - 2247
[34] Covid-19 Projections: A Simple Machine Learning Approach
Ortigoza, Gerardo
Zapata, Uriel
2021 IEEE INTERNATIONAL CONFERENCE ON ENGINEERING VERACRUZ (IEEE ICEV 2021(R)), 2021,
[35] A Machine Learning Approach to Predict the Rehabilitation Outcome in Convalescent COVID-19 Patients
Adamo, Sarah
Ambrosino, Pasquale
Ricciardi, Carlo
Accardo, Mariasofia
Mosella, Marco
Cesarelli, Mario
d'Addio, Giovanni
Maniscalco, Mauro
JOURNAL OF PERSONALIZED MEDICINE, 2022, 12 (03):
[36] Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients
Nalinthasnai, Nuttinan
Thammasudjarit, Ratchainant
Tassaneyasin, Tanapat
Eksombatchai, Dararat
Sungkanuparph, Somnuek
Boonsarngsuk, Viboon
Sutherasan, Yuda
Junhasavasdikul, Detajin
Theerawit, Pongdhep
Petnak, Tananchai
BMC PULMONARY MEDICINE, 2025, 25 (01):
[37] Speech signal analysis of COVID-19 patients via machine learning approach
Milani, M. G. Manisha
Ramashini, Murugaiya
Krishani, Murugiah
2021 INTERNATIONAL CONFERENCE ON DECISION AID SCIENCES AND APPLICATION (DASA), 2021,
[38] Predicting Clinical Outcomes in COVID-19 and Pneumonia Patients: A Machine Learning Approach
Cai, Kaida
Wang, Zhengyan
Yang, Xiaofang
Fu, Wenzhi
Zhao, Xin
VIRUSES-BASEL, 2024, 16 (10):
[39] An approach to forecast impact of Covid-19 using supervised machine learning model
Mohan, Senthilkumar
John, A.
Abugabah, Ahed
Adimoolam, M.
Kumar Singh, Shubham
Kashif Bashir, Ali
Sanzogni, Louis
SOFTWARE-PRACTICE & EXPERIENCE, 2022, 52 (04): : 824 - 840
[40] COVID-19 Detection Using Contemporary Biosensors and Machine Learning Approach: A Review
Agarwal, Sajal
Srivastava, Rupam
Kumar, Santosh
Prajapati, Yogendra Kumar
IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2024, 23 (02) : 291 - 299

← 1 2 3 4 5 →