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[Predicting the need for long-term care: development and comparative evaluation of advanced machine learning models]

Alexander Karl1, Katja Bochtler2,3, Matthias Becker2,3

  • 1Bayerisches Zentrum Pflege Digital, Hochschule für angewandte Wissenschaften Kempten, Albert-Einstein-Straße 6, 87437, Kempten, Deutschland. alexander.karl@hs-kempten.de.

Zeitschrift Fur Gerontologie Und Geriatrie
|April 13, 2026
PubMed
Summary

Machine learning accurately predicts long-term care needs, identifying age and meal preparation as key factors. This approach reduces administrative burden for the Bavarian Medical Service (MD Bavaria) and caregiving households.

Keywords:
AlgorithmsHealth data analyticsMedical servicePredictionPredictive modeling

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