A Correlative Analysis of Clinical Data for Dementia Patient Prognosis Using Machine Learning Schemes

Artificial Intelligence (AI) and Machine Learning (ML) are transforming dementia research by enabling accurate predictions and a deeper understanding of the disease. This study examines the evolution of dementia using the 24-feature “Dementia Patient Healthcare” dataset, emphasizing categorization models, gender-specific trends, and important factors. Several algorithms demonstrated great accuracy, including SVM (83.50%), LSTM (98.50%), KNN (75%), Random Forest, Decision tree, XGBoost (100%), and Logistic regression (95%). The results back up early diagnosis and individualized treatment. MRI scan images will be incorporated into future research to improve diagnostic accuracy and provide insights into brain alterations associated with dementia.