Dementia Prediction Using Deep Learning Techniques

Dementia is one of the progressive neurological disorders. The challenge is significantly high in terms of benefits to patients and health systems globally. Hence, an earlier and accurate prediction regarding the occurrence of dementia leads to timely intervention and better outcomes. In this regard, this paper presents a novel method of predicting dementia onset using deep learning techniques combined with Bayesian networks. Our results show that the proposed model outperforms traditional predictive methods, suggesting that this deep learning-Bayesian framework could serve as a valuable tool for early dementia diagnosis.