Classification of mild cognitive impairment and Alzheimer's Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data

Expert Systems with Applications

Volumn 42, Issue 15-16, 2015, Pages 6205-6214

  Munteanu, Cristian R ^a,b   Fernandez Lozano, Carlos ^a   Mato Abad, Virginia ^c   Pita Fernández, Salvador ^a   Álvarez Linera, Juan ^d   Hernández Tamames, Juan Antonio ^c   Pazos, Alejandro ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

^b MAASTRICHT UNIVERSITY   (Netherlands)

^c UNIVERSIDAD REY JUAN CARLOS   (Spain)

^d HOSPITAL RUBER INTERNACIONAL   (Spain)

Author keywords

Alzheimer's Disease; Machine learning; Magnetic Resonance Spectroscopy; Metabolite; Single layer perceptron

Indexed keywords

CEREBROSPINAL FLUID; DIAGNOSIS; LEARNING SYSTEMS; MACHINE LEARNING; MAGNETIC RESONANCE; MAGNETIC RESONANCE SPECTROSCOPY; MAGNETISM; METABOLITES; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY;

1H MAGNETIC RESONANCE SPECTROSCOPIES; ALZHEIMER'S DISEASE; DISEASE PROGRESSION; MACHINE LEARNING TECHNIQUES; MILD COGNITIVE IMPAIRMENTS; NON-INVASIVE IMAGING; RESONANCE TECHNIQUE; SINGLE LAYER PERCEPTRON;

NEURODEGENERATIVE DISEASES;

EID: 84937763002     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2015.03.011     Document Type: Article

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