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

S Tirunagari; N Poh; K Aliabadi; D Windridge; D Cooke

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

S Tirunagari, N Poh, K Aliabadi, D Windridge and D Cooke

2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA MINING (CIDM), pp.304-309

01/01/2014

Abstract

Science & Technology

Technology

Computer Science

Artificial Intelligence

Computer Science

DIMENSIONALITY REDUCTION

GENE-EXPRESSION

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Title: Patient Level Analytics Using Self-Organising Maps: A Case Study on Type-1 Diabetes Self-care Survey Responses
Creators: S Tirunagari
N Poh
K Aliabadi
D Windridge
D Cooke
Publication Details: 2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA MINING (CIDM), pp.304-309
Publisher: IEEE
Date published: 01/01/2014
Date submitted: 17/05/2017
Identifiers: 99516659702346
Academic Unit: Department of Computer Science; School of Computer Science and Electronic Engineering
Language: English
Resource Type: Journal article

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

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