Data-Driven Differential Diagnosis of Dementia Using Multiclass Disease State Index Classifier.

ABSTRACT: Clinical decision support systems (CDSSs) hold potential for the differential diagnosis of neurodegenerative diseases. We developed a novel CDSS, the PredictND tool, designed for differential diagnosis of different types of dementia. It combines information obtained from multiple diagnostic tests such as neuropsychological tests, MRI and cerebrospinal fluid samples. Here we evaluated how the classifier used in it performs in differentiating between controls with subjective cognitive decline, dementia due to Alzheimer's disease, vascular dementia, frontotemporal lobar degeneration and dementia with Lewy bodies. We used the multiclass Disease State Index classifier, which is the classifier used by the PredictND tool, to differentiate between controls and patients with the four different type

SUBMITTER: Tolonen A 

PROVIDER: S-EPMC5996907 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature