TADPOLE Challenge: Accurate Alzheimer’s disease prediction through crowdsourced forecasting of future data

The Alzheimer’s Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge compares the performance of algorithms at predicting the future evolution of individuals at risk of Alzheimer’s disease. TADPOLE Challenge participants train their models and algorithms on historical data from the Alzhe...

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Détails bibliographiques
Publié dans:Predict Intell Med
Auteurs principaux: Marinescu, Răzvan V., Oxtoby, Neil P., Young, Alexandra L., Bron, Esther E., Toga, Arthur W., Weiner, Michael W., Barkhof, Frederik, Fox, Nick C., Golland, Polina, Klein, Stefan, Alexander, Daniel C.
Format: Artigo
Langue:Inglês
Publié: 2019
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Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7315046/
https://ncbi.nlm.nih.gov/pubmed/32587957
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-32281-6_1
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