Basic activities of daily living

Biomarker1 paper1 finding

  • Humans1

Associations

1

Extreme Gradient Boosting

upin silico1

1 study
  1. Extreme Gradient Boosting predicts basic activities of daily living in silico (AUC = 0.737).

    In silicoin internal testing setn = 3,599

    Machine learning stratifies disability risk in older adults · Frontiers in public health · 18 Sep 2026

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Frontiers in Public HealthHumans

Machine learning stratifies disability risk in older adults

An XGBoost model reached an AUC of 0.782 in an external cohort of 2,066 older adults to predict basic activities of daily living disability.An XGBoost model reached an AUC of 0.782 in an external cohort of 2,066 older adults to predict basic activities of daily living disability.

Frontiers in Public HealthHumans

Intrinsic capacity predicts mortality better than frailty index

Higher intrinsic capacity lowered mortality risk (HR = 0.84 against 1.25 per 0.1 frailty increase) and remained predictive after adjusting for frailty…Higher intrinsic capacity lowered mortality risk (HR = 0.84 against 1.25 per 0.1 frailty increase) and remained predictive after adjusting for frailty index.

Innovation in AgingHumans

Lower oral frailty raises functional independence in older adults

In simulated models, a stepwise reduction in oral frailty increased the probability of being alive and functionally independent by 73% (probability…In simulated models, a stepwise reduction in oral frailty increased the probability of being alive and functionally independent by 73% (probability ratio 1.73, 95% CI 1.48–2.02).