ABSTRACT
Objective To study the hotspots and frontiers in research of medical big data using CiteSpace.Methods The papers on medical big data covered in Web of Science were analyzed using bibliometrics in combination with CiteSpace.Results The achievements in research of medical big data have rapidly increased since 2012.The nodes in research of big data, system, care, medicine and personalized medicine were bigger.The burst value in research of quality, children and mapreduce was higher.Conclusion The number of current researches in medical big data is greater in medical big data technology, precision medicine, medical and health big data management, medical big data privacy while mapreduce, ontology and hadoop are the frontiers and future trend in research of medical big data.
ABSTRACT
Objective To analyze the hot spots and frontiers in domestic and foreign precision medicine with CiteSpace. Methods The CNKI and WOS-covered papers on precision medicine were analyzed by bibliometrics combined with CiteSpace. Results Domestic precision medicine got off in 1992 and scholars became interested in it from 2010 . Foreign precision medicine started in 1985 and studies on it increased rapidly from 2006 . The node of precision medicine was the largest in China with a rather high value of gene mutation, US president Barack Obama ( precision medicine program) , personalized medicine, gene chip, genomics and pharmacogenomics whereas the node of personalized medicine, cancer and breast cancer was the largest with a rather high value of precision medi-cine, pharmacogenomics and pharmacogenetics. Conclusion The number of domestic and foreign papers on US president Barack Obama ( precision medicine program) is rapidly increased and pharmacogenomics is their common frontier. However, cancer is highly concerned in foreign countries.
ABSTRACT
Medical big data, an important strategic source of basic data for a country, will be applied in precision clinical diagnosis and treatment, decision-making support, disease monitoring, early warning and management, and public health service. The application of medical big data technology in our country is to be improved at pres-ent. How to realize the smooth transition of traditional medical data to a big data system and the added value of data by data mining and analyzing is an important problem needing to be solved immediately. The key functions, inclu-ding the general frame work and data center frame work of medical big data application information system, were thus planned and designed in this paper by constructing the regional application technology and engineering labora-tory for medical big data.