Chemotherapy Knowledge Base Management in the Era of Precision Oncology.
| Autor: | Rubinstein SM; University of North Carolina at Chapel Hill, Chapel Hill, NC., Sethi T; Yale University, New Haven, CT., Venepalli NK; University of Illinois at Chicago College of Medicine, Chicago, IL., Gyawali B; Queens University, Kingston, Ontario, Canada., Schwartz C; University of Illinois at Chicago College of Medicine, Chicago, IL., Rivera DR; Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD., Yang PC; Division of Hematology/Oncology, Department of Medicine, Massachusetts General Hospital, Boston, MA., Warner JL; Vanderbilt University Medical Center, Nashville, TN. |
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| Jazyk: | angličtina |
| Zdroj: | JCO clinical cancer informatics [JCO Clin Cancer Inform] 2021 Jan; Vol. 5, pp. 30-35. |
| DOI: | 10.1200/CCI.20.00076 |
| Abstrakt: | Cancer medicine has grown increasingly complex in recent years with the advent of precision oncology and wide utilization of multidrug regimens. Representing this increasingly granular knowledge is a significant challenge. As users and managers of a freely available chemotherapy drug and regimen database, we describe the changes we have made to accommodate these challenges. These include the development of a domain ontology and increased granularity in the classification of cancer types on the website. |
| Databáze: | MEDLINE |
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