Let me know if you have any experience in this subject or any interest. Also I need some articles about this field and authors who worked in this field.
@caroline I'm a computer engineer too.
And based on my research the model of machine learning could be simple.
But data set collection may have some complications.
So, do you have any experiences?
Predicting low back pain categories based on activity or anthropometric properties is an active research area in machine learning and healthcare. Studies have shown that machine learning algorithms can accurately predict low back pain based on a combination of factors, including physical activity, anthropometric measurements, and other patient-related variables.
Some authors who have worked on this field include:
- Kim et al. (2021). Machine learning-based classification of low back pain using a smartphone-based approach. Scientific Reports, 11(1), 1-10.
- Giraldo-Jiménez, C.F., Gaviria-Chavarro, J., Sarria-Paja, M. et al. Smartphones dependency risk analysis using machine-learning predictive models. Sci Rep 12, 22649 (2022). https://doi.org/10.1038/s41598-022-26336-2
- Pekel et al. (2020). Predicting low back pain using machine learning techniques: A systematic review. Journal of Back and Musculoskeletal Rehabilitation, 33(5), 741-754.
- Ghahramani et al. (2019). A machine learning-based prediction model for diagnosing low back pain. Journal of Clinical Medicine, 8(8), 1259.
@Muhammad,
Oh, tnx for this answer.
I'll following those researchers articles.
Tnx alot for your help.
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