Heterogeneity in Blood Biomarker Trajectories After Mild TBI Revealed by Unsupervised Learning
| Autor: | Lien Ai Bui, Tayo Obafemi-Ajayi, Louis Steinmeister, Sima Azizi, Gayla R. Olbricht, Daniel B. Hier, Donald C. Wunsch, Dacosta Yeboah |
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| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
business.industry Traumatic brain injury Applied Mathematics Amnesia Context (language use) Precision medicine medicine.disease Disease cluster Physical medicine and rehabilitation Concussion Genetics medicine Biomarker (medicine) Humans medicine.symptom business Neurocognitive Biomarkers Brain Concussion Biotechnology Unsupervised Machine Learning |
| Zdroj: | IEEE/ACM transactions on computational biology and bioinformatics. 19(3) |
| ISSN: | 1557-9964 |
| Popis: | Concussions, also known as mild traumatic brain injury (mTBI), are a growing health challenge. Approximately four million concussions are diagnosed annually in the United States. Concussion is a heterogeneous disorder in causation, symptoms, and outcome making precision medicine approaches to this disorder important. Persistent disabling symptoms sometimes delay recovery in a difficult to predict subset of mTBI patients. Despite abundant data, clinicians need better tools to assess and predict recovery. Data-driven decision support holds promise for accurate clinical prediction tools for mTBI due to its ability to identify hidden correlations in complex datasets. We apply a Locality-Sensitive Hashing model enhanced by varied statistical methods to cluster blood biomarker level trajectories acquired over multiple time points. Additional features derived from demographics, injury context, neurocognitive assessment, and postural stability assessment are extracted using an autoencoder to augment the model. The data, obtained from FITBIR, consisted of 301 concussed subjects (athletes and cadets). Clustering identified 11 different biomarker trajectories. Two of the trajectories (rising GFAP and rising NF-L) were associated with a greater risk of loss of consciousness or post-traumatic amnesia at onset. The ability to cluster blood biomarker trajectories enhances the possibilities for precision medicine approaches to mTBI. |
| Databáze: | OpenAIRE |
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