An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disorders

An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disorders

Abstract Background The analysis of health and medical data is crucial for improving the diagnosis precision, treatments and prevention. In this field, machine learning techniques play a key role. However, the amount of health data acquired from digital machines has high dimensionality and not all d...

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Bibliographic Details
Main Authors: Josefa Díaz Álvarez, Jordi A. Matias-Guiu, María Nieves Cabrera-Martín, José L. Risco-Martín, José L. Ayala
Format: Article
Language:English
Published: BMC 2019-10-01
Series:BMC Bioinformatics
Subjects:
Machine learning primary progressive aphasia
Supervised algorithm
Unsupervised algorithm
Clustering Analysis
Online Access:http://link.springer.com/article/10.1186/s12859-019-3027-7

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http://link.springer.com/article/10.1186/s12859-019-3027-7

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