The Field Attributes May not Accurately Predict the Need for Early Tracheostomy Tube Insertion in Severe TBI Patients: A New Insight With the Help of AI Algorithms

Our study aimed to create an ML model for predicting TTI in severe TBI patients. Despite using recognized predictors, the best model achieved an AUC of 0.66, indicating the inherent complexity in prediction. The findings serve as a valuable starting point for developing a predictive model and reassessing factors in the clinical setting that may not reliably predict tracheostomy needs at admission.

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Publication Details

Journal
Health Science Reports
Published
2025-03-01
DOI
https://doi.org/10.1002/hsr2.70556
Citations
1
Primary Topic
Tracheal and airway disorders
Type
article
Field-Weighted Citation Impact
1.52
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article

The Field Attributes May not Accurately Predict the Need for Early Tracheostomy Tube Insertion in Severe TBI Patients: A New Insight With the Help of AI Algorithms

Hosseinali Khalili, Hadis Ghasemi, Reza Taheri, Amin Niakan et al.
1 citations
Health Science Reports
Tracheal and airway disorders
1.52
article

The Field Attributes May not Accurately Predict the Need for Early Tracheostomy Tube Insertion in Severe TBI Patients: A New Insight With the Help of AI Algorithms

Hosseinali Khalili, Hadis Ghasemi, Reza Taheri, Amin Niakan, Adrina Habibzadeh, Saeed Tayebi Khorami, Sepehr Khademolhosseini
article en
1 citations

Abstract

Our study aimed to create an ML model for predicting TTI in severe TBI patients. Despite using recognized predictors, the best model achieved an AUC of 0.66, indicating the inherent complexity in prediction. The findings serve as a valuable starting point for developing a predictive model and reassessing factors in the clinical setting that may not reliably predict tracheostomy needs at admission.

Health Science ReportsVol. 8(3)
Taras Shevchenko National University of Kyiv (UA), Shiraz University of Medical Sciences (IR), Universal Scientific Education and Research Network (IR), Fasa University of Medical Sciences (IR)
Openalex Percentile: Top 21%
Tracheal and airway disorders
1.52
DOIOpen Access PDFOpenAlex
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The Field Attributes May not Accurately Predict the Need for Early Tracheostomy Tube Insertion in Severe TBI Patients: A New Insight With the Help of AI Algorithms — Hosseinali Khalili, Hadis Ghasemi, et al. · Health Science Reports (2025) | TGRS Research Map | TGRS