In this work, the public database of biomedical literature PubMed was mined using queries with combinations of keywords and year restrictions. It was found that the proportion of Cancer-related entries per year in PubMed has risen from around 6% in 1950 to more than 16% in 2016. This increase is not shared by other conditions such as AIDS, Malaria, Tuberculosis, Diabetes, Cardiovascular, Stroke and Infection some of which have, on the contrary, decreased as a proportion of the total entries per year. Organ-related queries were performed to analyse the variation of some specific cancers. A series of queries related to incidence, funding, and relationship with DNA, Computing and Mathematics, were performed to test correlation between the keyw...
Cancer is one of the four major non-communicable diseases (NCD), responsible for similar to 14.6% of...
<p>Biomedical knowledge is growing exponentially; however, meta-knowledge around the data is often l...
This article is not intended as a comprehensive survey of data mining applications in cancer. Rather...
Background This work explored the presence of Cancer-related publications in PubMed. The database M...
In this work, the public database of biomedical literature PubMed was mined using queries with combi...
Motivation: The hallmarks of cancer by Hanahan and Weinberg (2000, 2011) have become highly influent...
Advances in cancer medicine have traditionally come from detailed understanding of biological proces...
Background: Precision oncology involves analysis of individual cancer samples to un...
[[abstract]]Modern life science which can be applied to many fields, such as drug discovery, pharmac...
Abstract Background There is a huge body of scientific literature describing the relation between tu...
BACKGROUND: One of the most neglected areas of biomedical Text Mining (TM) is the development of sys...
: Data mining is an umbrella term referring to the process of discovering patterns in data, typical...
AbstractCancer is a malignant disease that has caused millions of human deaths. Its study has a long...
Cancer immunotherapy has fundamentally changed the landscape of oncology in recent years and signifi...
BackgroundRecently, ctDNA has become the focus for scientists with respect to personalized treatment...
Cancer is one of the four major non-communicable diseases (NCD), responsible for similar to 14.6% of...
<p>Biomedical knowledge is growing exponentially; however, meta-knowledge around the data is often l...
This article is not intended as a comprehensive survey of data mining applications in cancer. Rather...
Background This work explored the presence of Cancer-related publications in PubMed. The database M...
In this work, the public database of biomedical literature PubMed was mined using queries with combi...
Motivation: The hallmarks of cancer by Hanahan and Weinberg (2000, 2011) have become highly influent...
Advances in cancer medicine have traditionally come from detailed understanding of biological proces...
Background: Precision oncology involves analysis of individual cancer samples to un...
[[abstract]]Modern life science which can be applied to many fields, such as drug discovery, pharmac...
Abstract Background There is a huge body of scientific literature describing the relation between tu...
BACKGROUND: One of the most neglected areas of biomedical Text Mining (TM) is the development of sys...
: Data mining is an umbrella term referring to the process of discovering patterns in data, typical...
AbstractCancer is a malignant disease that has caused millions of human deaths. Its study has a long...
Cancer immunotherapy has fundamentally changed the landscape of oncology in recent years and signifi...
BackgroundRecently, ctDNA has become the focus for scientists with respect to personalized treatment...
Cancer is one of the four major non-communicable diseases (NCD), responsible for similar to 14.6% of...
<p>Biomedical knowledge is growing exponentially; however, meta-knowledge around the data is often l...
This article is not intended as a comprehensive survey of data mining applications in cancer. Rather...