Machine Learning and Pain Outcomes
Copyright © 2022 Elsevier Inc. All rights reserved..
Machine learning (ML) is an increasingly popular method of data analysis that has meaningful application within the realm of pain management. Current research has used this technique as a tool to refine patient selection for more invasive pain management treatments in an effort to improve outcomes. It is also being used to aid in the search for biomarkers that could objectify the quantification of pain to better assess these outcomes. This article provides an overview of ML and its applications within the pain field.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:33 |
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| Enthalten in: |
Neurosurgery clinics of North America - 33(2022), 3 vom: 14. Juli, Seite 351-358 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Harland, Tessa [VerfasserIn] |
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| Links: |
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| Themen: |
Biomarker |
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| Anmerkungen: |
Date Completed 21.06.2022 Date Revised 21.06.2022 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.nec.2022.02.012 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a Machine learning (ML) is an increasingly popular method of data analysis that has meaningful application within the realm of pain management. Current research has used this technique as a tool to refine patient selection for more invasive pain management treatments in an effort to improve outcomes. It is also being used to aid in the search for biomarkers that could objectify the quantification of pain to better assess these outcomes. This article provides an overview of ML and its applications within the pain field | ||
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