一种评估慢性疼痛的新方法:机器学习在情绪身体地图上的应用

Q4 Medicine Douleur Et Analgesie Pub Date : 2021-01-01 DOI:10.3166/DEA-2021-0156

T. Chauveau

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引用次数: 0

摘要

最近的研究表明，了解情绪状态、疼痛和身体感觉之间的联系可能有助于理解慢性疼痛状况。在这篇有针对性的文章中，作者开发了一个专门针对慢性背痛患者的移动平台，以测量他们日常生活中的疼痛、情绪和相关的身体感受。利用机器学习，他们开发了两种预测未来疼痛的模型。

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A New Way to Assess Chronic Pain: Application of Machine Learning on Emotional Body Maps

Recent studies proposed that understanding the connection between emotional states, pain and bodily sensations might help in the understanding of chronic pain conditions. In the targeted article, the authors developed a mobile platform dedicated to chronic back pain patients in order to measure pain, emotions and associated bodily feelings in their daily life conditions. Applying machine learning, they developed two predictive models of future pain.

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来源期刊

Douleur Et Analgesie 医学-临床神经学

CiteScore

0.30

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Douleur et Analgésie, première revue internationale francophone consacrée à la douleur, a été créée en 1988. De par la qualité scientifique et l’indépendance de ses publications, ce trimestriel a reçu d’emblée un accueil favorable auprès des chercheurs et cliniciens spécialisés dans le domaine. Á l’occasion de la reprise de la revue en 2006 par les Éditions Springer, le comité éditorial a souhaité s’ouvrir davantage à la francophonie, y compris nord américaine, pour mieux partager les connaissances et renforcer la valeur scientifique de la revue.