Modeling of Electronic Health Records for Time-Variant Event Learning Beyond Bio-Markers—A Case Study in Prostate Cancer-Reference-Cited by-同舟云学术

Modeling of Electronic Health Records for Time-Variant Event Learning Beyond Bio-Markers—A Case Study in Prostate Cancer

Published:2023 Issue: Volume:11 Page:50295-50309
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Herp J.¹,Braun Jan-Matthias¹^ORCID,Cantuaria M. L.¹^ORCID,Tashk Ashkan¹^ORCID,Pedersen T. B.²,Poulsen M. H. A.²,Krogh M.³,Nadimi E. S.¹,Sheikh S. P.³

Affiliation:

1. Unit of Applied Artificial Intelligence and Data Science, The Maersk Mc-Kinney Møller Institute, Faculty of Engineering, University of Southern Denmark, Odense, Denmark

2. Department of Urology, Odense University Hospital, Odense, Denmark

3. Open, Odense University Hospital (OUH), Odense, Open, Denmark

Funder

Danish Agency for Digitisation (Digitaliseringsstyrelsen) through the project “Better Diagnostics of Prostate Cancer (Bedre Diagnosticering af Prostatacancer)”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10114915.pdf?arnumber=10114915

Reference33 articles.

1. Scalable and accurate deep learning with electronic health records

2. The Danish National Patient Registry: a review of content, data quality, and research potential

3. A Changing Landscape in Castration-Resistant Prostate Cancer Treatment

4. Dansk prostata cancer database;Regionernes Kliniske Kvalitetsudviklingsprogram (RKKP),0

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