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Chemotherapy Knowledge Base Management in the Era of Precision Oncology
Author(s) -
Samuel M. Rubinstein,
Tarsheen Sethi,
Neeta K. Venepalli,
Bishal Gyawali,
Candice Schwartz,
Donna R. Rivera,
Peter Yang,
Jeremy L. Warner
Publication year - 2021
Publication title -
jco clinical cancer informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.188
H-Index - 12
ISSN - 2473-4276
DOI - 10.1200/cci.20.00076
Subject(s) - granularity , knowledge base , ontology , medicine , domain (mathematical analysis) , cancer chemotherapy , chemotherapy , precision medicine , computer science , regimen , precision oncology , domain knowledge , cancer , oncology , knowledge management , world wide web , pathology , mathematical analysis , philosophy , mathematics , epistemology , operating system
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.

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