An Exploration for New Strategy: Degradation Modeling and Treatment Scheduling for the Degenerative Spine based on Predictive Models

As human ages, their spine undergoes degeneration over time. It keeps progressing and may develop into severe spinal disease if no proper intervention is provided in time. Treatment scheduling is needed to prevent irreversible outcomes. However, currently the treatment for the degenerative spine is...

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Published in2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD) pp. 1 - 6
Main Authors Wu, Tong, Tang, Yuyao, Liu, Hao, Yang, Yi, Zhang, Kerui, Ma, Litai, Jiang, Hanxiao, Wu, Xian, Bai, Zhenrui, Wen, Jiaqi, Li, Fengxu, Xia, Yishi, Wang, Changxi, Li, Kang
Format Conference Proceeding
LanguageEnglish
Published IEEE 30.11.2022
Subjects
Analytical models
Data analysis
Data models
Degradation
degradation modeling
Predictive models
Reliability
reliability assessment
spine degeneration
Stochastic processes
treatment scheduling
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Summary:As human ages, their spine undergoes degeneration over time. It keeps progressing and may develop into severe spinal disease if no proper intervention is provided in time. Treatment scheduling is needed to prevent irreversible outcomes. However, currently the treatment for the degenerative spine is mainly scheduled based on clinicians' experience without considering the future state of the spine. Those determined by inexperienced clinicians may result in unexpected failures of that. This study aims to improve the treatment scheduling for the degenerative spine. The regression and stochastic models are used for spine degeneration modeling, where predictive and reliability-centered treatment strategies are proposed. A case study is conducted and the results show that both strategies lead to accurate results.
DOI:10.1109/ICSMD57530.2022.10058065