Machine learning application for incident prostate adenocarcinomas automatic registration in a French regional cancer registry.

Journal: International journal of medical informatics

Published Date: Apr 9, 2020

Abstract

UNLABELLED: Cancer registries are collections of curated data about malignant tumor diseases. The amount of data processed by cancer registries increases every year, making manual registration more and more tedious.

Authors

Thibaut Fabacher

Public Health Department, Strasbourg University Hospital, 67000, Strasbourg, France. Electronic address: thibaut.fabacher@chru-strasbourg.fr.
Julien Godet

Public Health Department, Strasbourg University Hospital, 67000, Strasbourg, France.
Delphine Klein

Bas-Rhin Cancer Registry, Inserm, IRFAC UMR-S1113, Strasbourg, 67200, France.
Michel Velten

Bas-Rhin Cancer Registry, Inserm, IRFAC UMR-S1113, Strasbourg, 67200, France.
Jérémie Jegu

Bas-Rhin Cancer Registry, Inserm, IRFAC UMR-S1113, Strasbourg, 67200, France.

Keywords

Adenocarcinoma Algorithms Data Mining France Humans Incidence International Classification of Diseases Machine Learning Male Prostatic Neoplasms Registries

External Resources

View on PubMed Access via DOI PubMed (32330852)

Machine learning application for incident prostate adenocarcinomas automatic registration in a French regional cancer registry.

Abstract

Authors

Keywords

External Resources

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