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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Dettagli Bibliografici
Pubblicato in:BMC Bioinformatics
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2014
Soggetti:
Research
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4290638/
https://ncbi.nlm.nih.gov/pubmed/25521394
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-15-S16-S11
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