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Defining and Reducing Variant Classification Disparities.

Moez DawoodShawn FayerSriram PendyalaMason PostDivya KalraKarynne E PattersonEric VennerLara A MuffleyDouglas M FowlerAlan F RubinJennifer E PoseySharon E PlonJames R. LupskiRichard A GibbsJoshua T SchifferCarla Daniela Robles-EspinozaWillow Coyote-MaestasIrene Gallego Romero
Published in: medRxiv : the preprint server for health sciences (2024)
Generation of saturation-style MAVE data should be a priority to reduce VUS disparities and produce equitable training data for future computational predictors.
Keyphrases
  • electronic health record
  • big data
  • machine learning
  • deep learning
  • affordable care act
  • current status
  • healthcare
  • data analysis
  • artificial intelligence
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