Explainable machine learning revealing the impact of mental and physical health on arthritis - Takeaways - MDSpire

Explainable machine learning revealing the impact of mental and physical health on arthritis

  • By

  • Md. Atik Shams

  • Sumaiya Fatema

  • D M Hasibul Islam

  • Anindita Datta

  • David Eisenberg

  • Danastan Tasaouf Mridula

  • Junnatul Mawa

  • Asma Sultana

  • Nafiya Ahmed

  • Monowarul Islam

  • Tanmoy Sarkar Pias

  • July 8, 2026

  • 0 min

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  • 1

    The study developed a machine learning framework for predicting arthritis risk using four national datasets.

  • 2

    A stacked ensemble model with GAN imputation and random undersampling achieved the highest AUROC of 0.8007.

  • 3

    SHAP analysis identified age, walking difficulty, BMI, and parental separation as significant predictors of arthritis.

  • 4

    The research highlights the interplay between mental and physical health in the context of arthritis risk.

  • 5

    This study addresses limitations in previous research by employing advanced machine learning techniques and multiple datasets.

Original Source(s)

Explainable machine learning revealing the impact of mental and physical health on arthritis

  • by Md. Atik Shams, Sumaiya Fatema, D M Hasibul Islam, Anindita Datta, David Eisenberg, Danastan Tasaouf Mridula, Junnatul Mawa, Asma Sultana, Nafiya Ahmed, Monowarul Islam, Tanmoy Sarkar Pias

  • July 8, 2026

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