A selected subset of psychological and functional assessments to efficiently classify Alzheimer’s disease from healthy controls using novelty detection

Shuo Liu; Qinyong Ye; Damien Coyle; Junxiu Liu; Yi Cao; Li Su; Xuemei Ding

A selected subset of psychological and functional assessments to efficiently classify Alzheimer’s disease from healthy controls using novelty detection

Shuo Liu, Qinyong Ye, Damien Coyle, Junxiu Liu, Yi Cao, Li Su, Xuemei Ding

Research output: Contribution to conference › Paper › peer-review

Abstract

Psychological/functional assessments (PFA) have been widely used in clinical practice forAlzheimer’s disease (AD) diagnosis and prognosis due to their lower cost relative to blood testand brain imaging. However, applying a number of sub-assessments is time-consuming, andparticularly impracticable for patients with cognitive impairment. This study aims to find asubset of PFA for efficient AD diagnosis.

Original language	English
Publication status	Published - 18 Mar 2020
Event	Alzheimer's Research UK, ARUK 2020 - Duration: 17 Mar 2020 → 17 Mar 2020

Conference

Conference	Alzheimer's Research UK, ARUK 2020
Period	17/03/20 → 17/03/20

Cite this

@conference{5746fdb72168470a8adc5fa0371837d8,

title = "A selected subset of psychological and functional assessments to efficiently classify Alzheimer{\textquoteright}s disease from healthy controls using novelty detection",

abstract = "Psychological/functional assessments (PFA) have been widely used in clinical practice forAlzheimer{\textquoteright}s disease (AD) diagnosis and prognosis due to their lower cost relative to blood testand brain imaging. However, applying a number of sub-assessments is time-consuming, andparticularly impracticable for patients with cognitive impairment. This study aims to find asubset of PFA for efficient AD diagnosis.",

author = "Shuo Liu and Qinyong Ye and Damien Coyle and Junxiu Liu and Yi Cao and Li Su and Xuemei Ding",

year = "2020",

month = mar,

day = "18",

language = "English",

note = "Alzheimer's Research UK, ARUK 2020 ; Conference date: 17-03-2020 Through 17-03-2020",

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TY - CONF

T1 - A selected subset of psychological and functional assessments to efficiently classify Alzheimer’s disease from healthy controls using novelty detection

AU - Liu, Shuo

AU - Ye, Qinyong

AU - Coyle, Damien

AU - Liu, Junxiu

AU - Cao, Yi

AU - Su, Li

AU - Ding, Xuemei

PY - 2020/3/18

Y1 - 2020/3/18

N2 - Psychological/functional assessments (PFA) have been widely used in clinical practice forAlzheimer’s disease (AD) diagnosis and prognosis due to their lower cost relative to blood testand brain imaging. However, applying a number of sub-assessments is time-consuming, andparticularly impracticable for patients with cognitive impairment. This study aims to find asubset of PFA for efficient AD diagnosis.

AB - Psychological/functional assessments (PFA) have been widely used in clinical practice forAlzheimer’s disease (AD) diagnosis and prognosis due to their lower cost relative to blood testand brain imaging. However, applying a number of sub-assessments is time-consuming, andparticularly impracticable for patients with cognitive impairment. This study aims to find asubset of PFA for efficient AD diagnosis.

M3 - Paper

T2 - Alzheimer's Research UK, ARUK 2020

Y2 - 17 March 2020 through 17 March 2020

ER -

A selected subset of psychological and functional assessments to efficiently classify Alzheimer’s disease from healthy controls using novelty detection

Abstract

Conference

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