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13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Plymouth

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Output 18 of 36 in the submission

Article title

Machine Learning-Based Method for Personalized and Cost-Effective Detection of Alzheimer's Disease

Type

D - Journal article

DOI

10.1109/TBME.2012.2212278

Title of journal

Biomedical Engineering, IEEE Transactions on

Article number

Volume number

Issue number

First page of article

164

ISSN of journal

0018-9294

Year of publication

2013

URL

Number of additional authors

Additional information

This was the first paper to present a decision-support system for personalised and cost-effective diagnosis of Alzheimer’s disease using biomarkers. It is the result of a multidisciplinary collaboration, involving neurologists, old age psychiatrists, specialists in clinical trials, health economists and engineers, which is rare. The paper aims to achieve a significant reduction in the number and cost of biomarkers needed to reach a confident diagnosis for each patient early in the disease process when diagnosis is difficult. This work is funded by an NIHR Programme Grant (Clinical Trials Methodology in Neurodegenerative Diseases, Grant Reference Number: RP-PG-0707-10124).

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract