Semiautomated Extraction of Research Topics and Trends From National Cancer Institute Funding in Radiological Sciences From 2000 to 2020

Investigators and funding organizations desire knowledge on topics and trends in publicly funded research but current efforts for manual categorization have been limited in breadth and depth of understanding. We present a semiautomated analysis of 21 years of R-type National Cancer Institute (NCI) g...

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Vydáno v:	International journal of radiation oncology, biology, physics Ročník 122; číslo 2; s. 458
Hlavní autoři:	Nguyen, Mark H, Beidler, Peter G, Tsai, Joseph, Anderson, August, Chen, Daniel, Kinahan, Paul E, Kang, John
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States 01.06.2025
Témata:	Algorithms Biomedical Research - economics Biomedical Research - trends Humans National Cancer Institute (U.S.) - economics Natural Language Processing Radiation Oncology - economics Radiation Oncology - trends Radiology - economics Radiology - trends Research Support as Topic - economics Research Support as Topic - statistics & numerical data Research Support as Topic - trends United States United States
ISSN:	1879-355X, 1879-355X
On-line přístup:	Zjistit podrobnosti o přístupu
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!