Cancer is a leading cause of morbidity and mortality worldwide. While progress has been
made in the diagnosis, prognosis, and treatment of cancer patients, individualized and data …

Developing personalized diagnostic strategies and targeted treatments requires a deep
understanding of disease biology and the ability to dissect the relationship between …

Along with the development of information technologies such as mobile Internet, information
acquisition technology, cloud computing and big data technology, the traditional knowledge …

Medical knowledge graphs (MKGs) are the basis for intelligent health care, and they have
been in use in a variety of intelligent medical applications. Thus, understanding the research …

Biomedical Relation Extraction (RE) systems identify and classify relations between
biomedical entities to enhance our knowledge of biological and medical processes. Most …

We present a machine learning framework to automate knowledge discovery through
knowledge graph construction, inconsistency resolution, and iterative link prediction. By …

With the continuous growth of cloud-based Electronic Health Record (EHR) systems and
medical data, medical organizations are particularly concerned about storing patient data to …

This study analyzed the research hotspots and frontiers of exercise rehabilitation among
cancer patients via CiteSpace. Relevant literature published in the core collection of the …

Simple Summary Cancer is a complex phenomenon and cancer research is increasingly
data-rich. Representing this knowledge in a manner that is both human and computer …

Abstract Background Electronic medical records (EMRs) contain a wealth of information
related to breast cancer diagnosis and treatment. Extracting relevant features from these …