Modelling of Electronic Health Records for Time-Variant Event Learning Beyond Bio-Markers – a Case Study in Prostate Cancer

Modelling of Electronic Health Records for Time-Variant Event Learning Beyond Bio-Markers – a Case Study in Prostate Cancer

Electronic health records (EHR) of large populations constitute a vast untapped resource for data-driven diagnosis and disease progression. We develop a model capable of predicting future steps in a patient’s journey for prostate cancer (PC) and its metastases without relying on direct bi...

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Bibliographic Details
Main Authors: Braun, J. (Author), Cantuaria, M.L (Author), Herp, J. (Author), Krogh, M. (Author), Nadimi, E.S (Author), Pedersen, T.B (Author), Poulsen, M.H.A (Author), Sheikh, S.P (Author), Tashk, A. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
Autoencoder
Biological system modeling
Codes
Electronic Health Records
Event Prediction
IEEE Sections
Metastasis
Predictive models
Prostate cancer
Prostate Cancer
Recurrent neural networks
Recurrent Neural Networks
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