Software tool for improved prediction of Alzheimer's disease

Hilkka Soininen; Jussi Mattila; Juha Koikkalainen; Mark van Gils; Anja Hviid Simonsen; Gunhild Waldemar; Daniel Rueckert; Lennart Thurfjell; Jyrki Lötjönen; Alzheimer’s Disease Neuroimaging Initiative (ADNI)

doi:10.1159/000332600

Software tool for improved prediction of Alzheimer's disease

Hilkka Soininen, Jussi Mattila, Juha Koikkalainen, Mark van Gils, Anja Hviid Simonsen, Gunhild Waldemar, Daniel Rueckert, Lennart Thurfjell, Jyrki Lötjönen, Alzheimer’s Disease Neuroimaging Initiative (ADNI)

Department of Neurology

12 Citations (Scopus)

Abstract

Diagnostic criteria of Alzheimer's disease (AD) emphasize the integration of clinical data and biomarkers. In practice, collection and analysis of patient data vary greatly across different countries and clinics.

Original language	English
Journal	Neuro-degenerative diseases
Volume	10
Issue number	1-4
Pages (from-to)	149-52
Number of pages	4
DOIs	https://doi.org/10.1159/000332600
Publication status	Published - 2012

Keywords

Aged
Alzheimer Disease
Decision Support Systems, Clinical
Disease Progression
Female
Humans
Longitudinal Studies
Male
Mild Cognitive Impairment
Psychiatric Status Rating Scales
Software

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10.1159/000332600

Cite this

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title = "Software tool for improved prediction of Alzheimer's disease",

abstract = "Diagnostic criteria of Alzheimer's disease (AD) emphasize the integration of clinical data and biomarkers. In practice, collection and analysis of patient data vary greatly across different countries and clinics.",

keywords = "Aged, Alzheimer Disease, Decision Support Systems, Clinical, Disease Progression, Female, Humans, Longitudinal Studies, Male, Mild Cognitive Impairment, Psychiatric Status Rating Scales, Software",

author = "Hilkka Soininen and Jussi Mattila and Juha Koikkalainen and \{van Gils\}, Mark and Simonsen, \{Anja Hviid\} and Gunhild Waldemar and Daniel Rueckert and Lennart Thurfjell and Jyrki L{\"o}tj{\"o}nen and \{Alzheimer{\textquoteright}s Disease Neuroimaging Initiative (ADNI)\}",

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year = "2012",

doi = "10.1159/000332600",

language = "English",

volume = "10",

pages = "149--52",

journal = "Neuro-degenerative diseases",

issn = "1660-2862",

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TY - JOUR

T1 - Software tool for improved prediction of Alzheimer's disease

AU - Soininen, Hilkka

AU - Mattila, Jussi

AU - Koikkalainen, Juha

AU - van Gils, Mark

AU - Simonsen, Anja Hviid

AU - Waldemar, Gunhild

AU - Rueckert, Daniel

AU - Thurfjell, Lennart

AU - Lötjönen, Jyrki

AU - Alzheimer’s Disease Neuroimaging Initiative (ADNI)

PY - 2012

Y1 - 2012

N2 - Diagnostic criteria of Alzheimer's disease (AD) emphasize the integration of clinical data and biomarkers. In practice, collection and analysis of patient data vary greatly across different countries and clinics.

AB - Diagnostic criteria of Alzheimer's disease (AD) emphasize the integration of clinical data and biomarkers. In practice, collection and analysis of patient data vary greatly across different countries and clinics.

KW - Aged

KW - Alzheimer Disease

KW - Decision Support Systems, Clinical

KW - Disease Progression

KW - Female

KW - Humans

KW - Longitudinal Studies

KW - Male

KW - Mild Cognitive Impairment

KW - Psychiatric Status Rating Scales

KW - Software

UR - https://www.scopus.com/pages/publications/84860214159

U2 - 10.1159/000332600

DO - 10.1159/000332600

M3 - Journal article

C2 - 22156511

SN - 1660-2862

VL - 10

SP - 149

EP - 152

JO - Neuro-degenerative diseases

JF - Neuro-degenerative diseases

IS - 1-4

ER -

Software tool for improved prediction of Alzheimer's disease

Abstract

Keywords

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