Software Tool for Improved Prediction of Alzheimer’s Disease | Zendy

Hilkka Soininen | Zendy; Jussi Mattila | Zendy; Juha Koikkalainen | Zendy; Mark van Gils | Zendy; Anja Hviid Simonsen | Zendy; Gunhild Waldemar | Zendy; Daniel Rueckert | Zendy; Lennart Thurfjell | Zendy; Jyrki Lötjönen | Zendy

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Software Tool for Improved Prediction of Alzheimer’s Disease

Author(s) -

Hilkka Soininen,

Jussi Mattila,

Juha Koikkalainen,

Mark van Gils,

Anja Hviid Simonsen,

Gunhild Waldemar,

Daniel Rueckert,

Lennart Thurfjell,

Jyrki Lötjönen

Publication year - 2011

Publication title -

neurodegenerative diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.98

H-Index - 57

eISSN - 1660-2862

pISSN - 1660-2854

DOI - 10.1159/000332600

Subject(s) - medicine , software , disease , test (biology) , data collection , clinical practice , cohort , computer science , medical physics , machine learning , statistics , family medicine , paleontology , mathematics , biology , programming language

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.

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