A classification algorithm to predict chronic pain using both regression and machine learning – A stepwise approach

This secondary data analysis study aimed to (1) investigate the use of two sense-based parameters (movement and sleep hours) as predictors of chronic pain when controlling for patient demographics and depression, and (2) identify a classification model with accuracy in predicting chronic pain. Data...

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Veröffentlicht in:	Applied nursing research 2021-12, Vol.62 (C), p.151504-151504, Article 151504
Hauptverfasser:	Tsai, Pao-Feng, Wang, Chih-Hsuan, Zhou, Yang, Ren, Jiaxiang, Jones, Alisha, Watts, Sarah O., Chou, Chiahung, Ku, Wei-Shinn
Format:	Artikel
Sprache:	eng
Schlagworte:	Aged Algorithms Chronic Pain - diagnosis Depression Humans Machine Learning Pain Physical activity Risk Factors Sleep Surveys and Questionnaires
Online-Zugang:	Volltext
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