Prediction of MMSE Scores for Cognitive Impairment | NCT06611475 | Trialant

Prediction of MMSE Scores for Cognitive Impairment | NCT06611475 | Trialant

Arms/Interventions Module

Interventions

Name	Type	Description	Arm Group Labels	Other Names
MMSE ≤26	Other	A dataset comprising participants with MMSE scores of ≤26 and 30 will be used to evaluate the classification performance of various machine learning techniques.	MMSE 30

Outcomes Module

Primary Outcomes

Measure	Description	Time Frame
Detection perfomance	The study measures the classification performance of Machine Learning classifiers. Performance metrics, Accuracy, precision, recall, F1-Score and confusion matrix will be used for the evaluation. The examination of the most important features relied on SHAP summary plots, providing visualizations of the influence of parameter groups on the output, organized by their importance. This importance is based on SHAP values, offering insights into features' effects on the ML model's decision-making process	5 mounths

Condition Browse Module