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Scoring Algorithm-Based Genomic Testing in Dystonia: A Prospective Validation Study.

Michael ZechRobert JechSylvia BoeschMatej ŠkorvánekJán NecpálJana ŠvantnerováMatias WagnerAriane Sadr-NabaviFelix DistelmaierMartin KrennTereza SerranováIrena RektorováPetra HavránkováAlexandra MosejováIva PříhodováJana ŠarlákováKristína KulcsarováOlga UlmanováKarel BechyněMiriam OstrozovičováVladimír HaňJoaquim Ribeiro VentosaTheresa BrunetRiccardo BeruttiMohammad ShariatiAli ShoeibiSusanne A SchneiderAlice KusterMatthias BaumannDavid WeiseFriederike WilbertWibke G JanzarikMatthias EckenweilerVolker MallBernhard HaslingerSteffen BerweckJuliane WinkelmannKonrad Oexle
Published in: Movement disorders : official journal of the Movement Disorder Society (2021)
The algorithm is a useful predictive tool and could be integrated into dystonia routine diagnostic protocols. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson Movement Disorder Society.
Keyphrases
  • deep brain stimulation
  • early onset
  • machine learning
  • deep learning
  • neural network
  • clinical practice
  • copy number
  • systematic review
  • dna methylation