Identification of mild cognitive impairment using extreme learning machines model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9226, Issue , 2015, Pages 589-600

  Zhang, Wen ^a,b   Shen, Hao ^a,b   Ji, Zhiwei ^a,b   Meng, Guanmin ^c   Wang, Bing ^a,b  

^a TONGJI UNIVERSITY   (China)

^b Ministry of Education   (China)

^c Tongde Hospital of Zhejiang Province   (China)

Author keywords

Alzheimer s disease; Clinical biomarker; Computational model; Extreme learning machines; Mild cognitive impairment

Indexed keywords

BIOMARKERS; CEREBROSPINAL FLUID; COMPUTATION THEORY; FORECASTING; INTELLIGENT COMPUTING; KNOWLEDGE ACQUISITION; MAGNETIC LEVITATION VEHICLES; MAGNETIC RESONANCE IMAGING; SUPPORT VECTOR MACHINES;

ALZHEIMER; CLINICAL BIOMARKERS; COMPUTATIONAL MODEL; EXTREME LEARNING MACHINE; MILD COGNITIVE IMPAIRMENTS;

LEARNING ALGORITHMS;

EID: 84944739889     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-22186-1_59     Document Type: Conference Paper

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