Machine Learning for Health Status Prediction of Elderly Person The overall health status of older people is closely correlated with domestic social health spending. Being able to map the health status of the over-65 population is just as important as being able to predict its demographic trends, including in relation to those age groups on the threshold of ageing. Such prediction cannot be approached through linear models because it is difficult to establish direct correlations between social and economic factors and health status. It seems preferable to apply machine learning methods to reduce the time required to extract correlations and to improve the accuracy of prediction.
Magaro', A. (2024). Machine learning per la previsione dello stato di salute della persona anziana. OFFICINA(44), 90-93.
Machine learning per la previsione dello stato di salute della persona anziana
Antonio Magaro'
2024-01-01
Abstract
Machine Learning for Health Status Prediction of Elderly Person The overall health status of older people is closely correlated with domestic social health spending. Being able to map the health status of the over-65 population is just as important as being able to predict its demographic trends, including in relation to those age groups on the threshold of ageing. Such prediction cannot be approached through linear models because it is difficult to establish direct correlations between social and economic factors and health status. It seems preferable to apply machine learning methods to reduce the time required to extract correlations and to improve the accuracy of prediction.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.