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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Publicat a:Predict Intell Med
Autors principals: 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
Idioma:Inglês
Publicat: 2019
Matèries:
Article
Accés en línia: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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