Precision medicine promises to improve the diagnosis and treatment of patients based on their genetic particularities. One of the fields in which clinicians aim to use precision medicine is oncology. The knowledge that is necessary to achieve a proper precision oncology application is dispersed over many data sources with heterogeneous data representations. In this work, we studied seven of the most relevant data sources used to deliver precision oncology and determined if the information contained in them is complete and concordant. The results herein reported indicate that this information is neither complete nor concordant. Thus, providing proper precision oncology is still an unresolved challenge for clinicians.
CITATION STYLE
Costa, M., García S, A., & Pastor, O. (2022). A Comparative Analysis of the Completeness and Concordance of Data Sources with Cancer-Associated Information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13650 LNCS, pp. 35–44). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-22036-4_4
Mendeley helps you to discover research relevant for your work.