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Brain Injury Volume 35, 2021 - Issue 9
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Research Article

Machine Learning Model to Predict Ventilator Associated Pneumonia in patients with Traumatic Brain Injury: The C.5 Decision Tree Approach

Ahmad Abujabera Assistant Executive Director of Nursing, Hamad Medical Corporation, Doha, Qatar
,
Adam Fadlallab Management Information Systems, Business, and Economics Faculty, Qatar University, Doha, Qatar
,
Diala Gammohc Industrial Engineering, University of Central Florida- USA
,
Hassan Al-Thanid Department of Surgery, Trauma Surgery, Hamad Medical Corporation, Doha, Qatar
&
Ayman El-Menyare Department of Surgery, Trauma Surgery, Clinical Research, Hamad Medical Corporation, Doha, Qatar;f Department of Clinical Medicine, Weill Cornell Medical College, Doha, QatarCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-2584-953X
ORCID Icon
Pages 1095-1102 | Received 22 Jun 2020, Accepted 18 Jul 2021, Published online: 06 Aug 2021

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Richard J. Siegert, Ajit Narayanan & Lynne Turner-Stokes. (2023) Prediction of emergence from prolonged disorders of consciousness from measures within the UK rehabilitation outcomes collaborative database: a multicentre analysis using machine learning. Disability and Rehabilitation 45:18, pages 2906-2914.
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Articles from other publishers (12)

Jinbo Zhang, Pingping Yang, Lu Zeng, Shan Li & Jiamei Zhou. (2024) Ventilator-Associated Pneumonia Prediction Models Based on AI: Scoping Review. JMIR Medical Informatics 12, pages e57026-e57026.
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Kevin Pierre, Jordan Turetsky, Abheek Raviprasad, Seyedeh Mehrsa Sadat Razavi, Michael Mathelier, Anjali Patel & Brandon Lucke-Wold. (2024) Machine Learning in Neuroimaging of Traumatic Brain Injury: Current Landscape, Research Gaps, and Future Directions. Trauma Care 4:1, pages 31-43.
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Kapil Gupta, Ruchika Sinhal & Sagarkumar S. Badhiye. (2023) Remote photoplethysmography‐based human vital sign prediction using cyclical algorithm . Journal of Biophotonics 17:1.
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Ahmad A. Abujaber, Ibraheem M. Alkhawaldeh, Yahia Imam, Abdulqadir J. Nashwan, Naveed Akhtar, Ahmed Own, Ahmad S. Tarawneh & Ahmad B. Hassanat. (2023) Predicting 90-day prognosis for patients with stroke: a machine learning approach. Frontiers in Neurology 14.
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Ruoran Wang, Linrui Cai, Yan Liu, Jing Zhang, Xiaofeng Ou & Jianguo Xu. (2023) Machine learning algorithms for prediction of ventilator associated pneumonia in traumatic brain injury patients from the MIMIC-III database. Heart & Lung 62, pages 225-232.
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Jong-Ho Kim, Kyung-Min Chung, Jae-Jun Lee, Hyuk-Jai Choi & Young-Suk Kwon. (2023) Predictive Modeling and Integrated Risk Assessment of Postoperative Mortality and Pneumonia in Traumatic Brain Injury Patients through Clustering and Machine Learning: Retrospective Study. Biomedicines 11:11, pages 2880.
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Helena Van Deynse, Wilfried Cools, Viktor-Jan De Deken, Bart Depreitere, Ives Hubloue, Eva Kimpe, Maarten Moens, Karen Pien, Ellen Tisseghem, Griet Van Belleghem & Koen Putman. (2023) Predicting return to work after traumatic brain injury using machine learning and administrative data. International Journal of Medical Informatics 178, pages 105201.
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Ahammed Mekkodathil, Ayman El-Menyar, Mashhood Naduvilekandy, Sandro Rizoli & Hassan Al-Thani. (2023) Machine Learning Approach for the Prediction of In-Hospital Mortality in Traumatic Brain Injury Using Bio-Clinical Markers at Presentation to the Emergency Department. Diagnostics 13:15, pages 2605.
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Xiaolin Song, Hui Li, Qingsong Chen, Tao Zhang, Guangbin Huang, Lingyun Zou & Dingyuan Du. (2023) Predicting pneumonia during hospitalization in flail chest patients using machine learning approaches. Frontiers in Surgery 9.
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Neel Shimpi, Ingrid Glurich, Aloksagar Panny, Harshad Hegde, Frank A. Scannapieco & Amit Acharya. (2022) Identifying oral disease variables associated with pneumonia emergence by application of machine learning to integrated medical and dental big data to inform eHealth approaches. Frontiers in Dental Medicine 3.
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Ahmad Abujaber, Adam Fadlalla, Abdulqadir Nashwan, Ayman El-Menyar & Hassan Al-Thani. (2022) Predicting prolonged length of stay in patients with traumatic brain injury: A machine learning approach. Intelligence-Based Medicine 6, pages 100052.
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Rui Na Ma, Yi Xuan He, Fu Ping Bai, Zhi Peng Song, Ming Sheng Chen & Min Li. (2021) Machine Learning Model for Predicting Acute Respiratory Failure in Individuals With Moderate-to-Severe Traumatic Brain Injury. Frontiers in Medicine 8.
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