ArticleScientific reports2022
Probabilistic prediction of increased intracranial pressure in patients with severe traumatic brain injury.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Using Artificial Intelligence to Predict Intracranial Hypertension in Patients After Traumatic Brain Injury: A Systematic Review.Neurocritical care · 2024Pooled it
- Prognostic value of early intracranial pressure curve following surgical decompression: A machine learning analysis.Brain & spine · 2026Article
- Classification of intracranial pressure epochs using a novel machine learning framework.NPJ digital medicine · 2025Article
- Machine Learning Based Prediction of Imminent ICP Insults During Neurocritical Care of Traumatic Brain Injury.Neurocritical care · 2025Article
- Review
- Evolving concepts in intracranial pressure monitoring - from traditional monitoring to precision medicine.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025Review
- Random forest-based prediction of intracranial hypertension in patients with traumatic brain injury.Intensive care medicine experimental · 2024Article
- Deriving Automated Device Metadata From Intracranial Pressure Waveforms: A Transforming Research and Clinical Knowledge in Traumatic Brain Injury ICU Physiology Cohort Analysis.Critical care explorations · 2024Article
- Time-Series Modeling and Forecasting of Cerebral Pressure-Flow Physiology: A Scoping Systematic Review of the Human and Animal Literature.Sensors (Basel, Switzerland) · 2024Article
- IntraCranial pressure prediction AlgoRithm using machinE learning (I-CARE): Training and Validation Study.Critical care explorations · 2024Article
- Feasibility of the optimal cerebral perfusion pressure value identification without a delay that is too long.Scientific reports · 2022Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traumatic brain injury (TBI) causes alteration in brain functions. Generally, at intensive care units (ICU), intracranial pressure (ICP) is monitored and treated to avoid increases in ICP with associated poor clinical outcome. The aim was to develop a model which could predict future ICP levels of individual patients in the ICU, to warn treating clinicians before secondary injuries occur. A simple and explainable, probabilistic Markov model was developed for the prediction task ICP ≥ 20 mmHg. Predictions were made for 10-min intervals during 60 min, based on preceding hour of ICP. A prediction enhancement method was developed to compensate for data imbalance. The model was evaluated on 29 patients with severe TBI. With random data selection from all patients (80/20% training/testing) the specificity of the model was high (0.94-0.95) and the sensitivity good to high (0.73-0.87). Performance was similar (0.90-0.95 and 0.73-0.89 respectively) when the leave-one-out cross-validation was applied. The new model could predict increased levels of ICP in a reliable manner and the enhancement method further improved the predictions. Further advantages are the straightforward expandability of the model, enabling inclusion of other time series data and/or static parameters. Next step is evaluation on more patients and inclusion of parameters other than ICP.
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