NMD-12: A new machine-learning derived screening instrument to detect mild cognitive impairment and dementia.

ABSTRACT:

Introduction

Using machine learning techniques, we developed a brief questionnaire to aid neurologists and neuropsychologists in the screening of mild cognitive impairment (MCI) and dementia.

Methods

With the reduction of the survey size as a goal of this research, feature selection based on information gain was performed to rank the contribution of the 45 items corresponding to patient responses to the specified questions. The most important items were used to build the optimal screening model based on the accuracy, practicality, and interpretability. The diagnostic accuracy for discriminating normal cognition (NC), MCI, very mild dementia (VMD) and dementia was validated in the test group.

Results

The screening model (NMD-12) was constructed with the 12 items that w

SUBMITTER: Chiu PY 

PROVIDER: S-EPMC6407752 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature