Journal of Vascular Medicine & Surgery

Mapping 40 years of concept evolution in vascular malformation by PubMed literature

World Congress on Vascular Diseases, Medicine & Surgeons Summit

October 24-25, 2016 Chicago, USA

Charles Chih-Ho Liu

Fu-Jen Catholic University, Taiwan (ROC)
Cathay General Hospital, Taiwan (ROC)

Scientific Tracks Abstracts: Vasc Med Surg

Abstract:

Treatment of vascular malformation and hemangioma involved multiple medical and surgical disciplines, which make literature review difficult in this hybrid topic. We propose an unbiased automatic method of mapping the knowledge evolution by the online PubMed content from 1947 to 2015, and demonstrated quantitatively the involved journals from neurosurgery, radiology, to plastic surgery. 2,695 PubMed articles of �??vascular malformation (VM)�?� and �??hemangioma�?� were retrieved by their MeSH keywords. Co-word analysis depicts more details of the dynamics of knowledge change across time, especially for the recent 40 years. The knowledge skeletons were calculated by single-linkage cluster method by the overlapping MeSH terms between the articles, then Graphviz graphs were generated by two criteria of the minimal number of overlapping terms (the intersection threshold) and the Jaccard index (JI). A readable literature map could be generated by the intersection threshold of 13 and JI of 0.50, including 21-7-6-5-5 nodes for the five largest subgraphs respectively. The two-dimensional layout depicted the dynamics of knowledge evolution, including the paradigm shift to �??radiosurgery�?� since 2000, and the fall of the new treatment modality around 2008. The continuous development and competition of treatment concept will be shown in unbiased 2D knowledge graphs, including specific discussions on sclerotherapy for soft tissue VM in our center. Another two papers were proposed in this meeting. Our approach automatically �??purifies�?� well-focused topics for VM with heterogeneous contributors, and maps the shift of knowledge foci from diagnosis before 1996 to treatment. The algorithm generates a zoomable literature map, allowing further exploration of details of interest, which would be valuable for medical application.

Biography :

Charles Chih-Ho Liu has received his MD degree from National Taiwan University in 1990, and MS degree from Graduate Institute of Medical Informatics in Taipei Medical University in 2001. He is a Plastic Surgeon at Cathay General Hospital, a Lecturer in Medical Department of Fu-Jen Catholic University, and one of the co-founders of Taiwan Evidence-Based Medicine Association. Research interest includes Microsurgery, Medical Informatics, Data Mining of Unstructured Data, and Text Mining.

Email: chliucgh@gmail.com