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Personalized Prediction of Disease Activity in Patients with Rheumatoid Arthritis Using an Adaptive Deep Neural Network
2020-09-05
rheumatology
Title + abstract only
View on medRxiv
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BackgroundRheumatoid arthritis (RA) lacks reliable biomarkers that predict disease evolution on an individual basis, potentially leading to over- and undertreatment. Deep neural networks learn from former experiences on a large scale and can be used to predict future events as a potential tool for personalized clinical assistance. ObjectiveTo investigate deep learning for the prediction of individual disease activity in RA. MethodsDemographic and disease characteristics from over 9500 patients...
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