Genetic algorithm with logistic regression for prediction of progression to Alzheimer's disease

BACKGROUND: Assessment of risk and early diagnosis of Alzheimer's disease (AD) is a key to its prevention or slowing the progression of the disease. Previous research on risk factors for AD typically utilizes statistical comparison tests or stepwise selection with regression models. Outcomes of...

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Detalles Bibliográficos
Autores principales: Johnson, Piers, Vandewater, Luke, Wilson, William, Maruff, Paul, Savage, Greg, Graham, Petra, Macaulay, Lance S, Ellis, Kathryn A, Szoeke, Cassandra, Martins, Ralph N, Rowe, Christopher C, Masters, Colin L, Ames, David, Zhang, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4290638/
https://www.ncbi.nlm.nih.gov/pubmed/25521394
http://dx.doi.org/10.1186/1471-2105-15-S16-S11

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4290638/
https://www.ncbi.nlm.nih.gov/pubmed/25521394
http://dx.doi.org/10.1186/1471-2105-15-S16-S11

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