{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/tadpole-challenge-prediction-of-longitudinal","title":"TADPOLE Challenge: Prediction of Longitudinal Evolution in Alzheimer's Disease","arxiv_id":"1805.03909","date":"2018-08-30","proceeding":null,"authors":[],"abstract":"The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE)\nChallenge compares the performance of algorithms at predicting future evolution\nof individuals at risk of Alzheimer's disease. TADPOLE Challenge participants\ntrain their models and algorithms on historical data from the Alzheimer's\nDisease Neuroimaging Initiative (ADNI) study or any other datasets to which\nthey have access. Participants are then required to make monthly forecasts over\na period of 5 years from January 2018, of three key outcomes for ADNI-3\nrollover participants: clinical diagnosis, Alzheimer's Disease Assessment Scale\nCognitive Subdomain (ADAS-Cog13), and total volume of the ventricles. These\nindividual forecasts are later compared with the corresponding future\nmeasurements in ADNI-3 (obtained after the TADPOLE submission deadline). The\nfirst submission phase of TADPOLE was open for prize-eligible submissions\nbetween 15 June and 15 November 2017. The submission system remains open via\nthe website: https://tadpole.grand-challenge.org, although since 15 November\n2017 submissions are not eligible for the first round of prizes. This paper\ndescribes the design of the TADPOLE Challenge.","url_abs":"http://arxiv.org/abs/1805.03909v2","url_pdf":"http://arxiv.org/pdf/1805.03909v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"tadpole-challenge-prediction-of-longitudinal","repo_url":"https://github.com/ucl-pond/MedICSS-TADPOLE","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"disease-prediction","task_name":"Disease Prediction"},{"task_slug":"prediction","task_name":"Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1805.03909","atlas_url":"https://app.syntology.ai/?focus=1805.03909","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}