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Patient Level Analytics Using Self-Organising Maps: A Case Study on Type-1 Diabetes Self-care Survey Responses

Tirunagari, S, Poh, N, Aliabadi, K, Windridge, D and Cooke, D (2014) Patient Level Analytics Using Self-Organising Maps: A Case Study on Type-1 Diabetes Self-care Survey Responses 2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA MINING (CIDM). pp. 304-309.

Full text not available from this repository.
Item Type: Article
Authors :
NameEmailORCID
Tirunagari, Ssantosh.tirunagari@surrey.ac.ukUNSPECIFIED
Poh, Nn.poh@surrey.ac.ukUNSPECIFIED
Aliabadi, KUNSPECIFIEDUNSPECIFIED
Windridge, DUNSPECIFIEDUNSPECIFIED
Cooke, Dd.cooke@surrey.ac.ukUNSPECIFIED
Date : 1 January 2014
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, DIMENSIONALITY REDUCTION, GENE-EXPRESSION
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 10:30
Last Modified : 17 May 2017 14:50
URI: http://epubs.surrey.ac.uk/id/eprint/828062

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