The developed neural network model accurately predicts 10-year risk of major adverse cardiac events using integrated polygenic and clinical data.
Does a neural network-based integration of polygenic and clinical information predict 10-year risk of major adverse cardiac events in the UK Biobank cohort?
UK Biobank cohort
Neural network-based prediction model integrating polygenic and clinical information
10-year risk of major adverse cardiac eventscomposite
A neural network-based model was developed to integrate polygenic and clinical information for predicting 10-year MACE risk in the UK Biobank cohort.
Absolute Event Rate: 0% vs 0%
Charité-Universitätsmedizin Berlin, Einstein Foundation Berlin, and the Medical Informatics Initiative.
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Jakob Steinfeldt
Friedrich-Alexander-Universität Erlangen-Nürnberg
Thore Buergel
Berlin Institute of Health at Charité - Universitätsmedizin Berlin
Lukas Loock
Berlin Institute of Health at Charité - Universitätsmedizin Berlin
SHILAP Revista de lepidopterología
The Lancet Digital Health
University of Cambridge
University College London
Heidelberg University
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Steinfeldt et al. (Tue,) reported a other. The developed neural network model accurately predicts 10-year risk of major adverse cardiac events using integrated polygenic and clinical data.
synapsesocial.com/papers/698cd5fb6d4f43123bc2dd2d — DOI: https://doi.org/10.1016/s2589-7500(21)00249-1