Learning Links in MeSH Co-occurrence Network - Preliminary Results
نویسندگان
چکیده
Literature-based discovery (LBD) is focusing on automatically generating scientific hypotheses by uncovering hidden, previously unknown relations between existing knowledge. Co-occurrences between biomedical concepts can be represented by a network that consists of a set of nodes representing concepts and a set of edges representing their relationships. In this work we propose a method for link prediction of implicit connections between Medical Subject Headings (MeSH R ©) descriptors. Our approach is complementary to standard LBD. Link prediction was performed using Jaccard and Adamic-Adar similarity measures. Preliminary results showed high prediction performance with area under the ROC curve of 0.78 and 0.82 for Jaccard and Adamic-Adar coefficient, respectively.
منابع مشابه
Generation of learning paths in educational texts based on vocabulary co-occurrence networks in Wikipedia and randomness
We propose a new computational method for generating learning paths in educational texts. The method relies on forming vocabulary co-occurrence networks among articles of Wikipedia online encyclopedia and exploiting random explorations to generate route weighting parameters to form pedagogic co-occurrence networks. Motivated by previous research about scale-free small-world networks we suggest ...
متن کاملOn the effect of low-quality node observation on learning over incremental adaptive networks
In this paper, we study the impact of low-quality node on the performance of incremental least mean square (ILMS) adaptive networks. Adaptive networks involve many nodes with adaptation and learning capabilities. Low-quality mode in the performance of a node in a practical sensor network is modeled by the observation of pure noise (its observation noise) that leads to an unreliable measurement....
متن کاملترسیم شبکه های هم تألیفی حوزه طب اورژانس ایران با استفاده از تحلیل خوشه ای
Introduction: co-authorship network is composed of nodes and links. Social network analysis is utilized to detect patterns among these links. The purpose of this paper was to visualize co-authorship network of emergency medicine in 2001 - 2011. Methods: The present research focused on the social network analysis cluster . Data were downloaded from web of science according to subject ...
متن کاملLeveraging output term co-occurrence frequencies and latent associations in predicting medical subject headings
Trained indexers at the National Library of Medicine (NLM) manually tag each biomedical abstract with the most suitable terms from the Medical Subject Headings (MeSH) terminology to be indexed by their PubMed information system. MeSH has over 26,000 terms and indexers look at each article's full text while assigning the terms. Recent automated attempts focused on using the article title and abs...
متن کاملVisualizing Multiple System Atrophy Studies Based on Collaboration Network and Centrality Indices in Web of Science Database
Introduction: Social network analysis is an analytical method based on graph theories that identifies relationships between individuals or factors to analyze the social structures resulted from those relationships. The objective of this study was to analyze co-authorship and co-word networks based on scientometric indicators and centrality measures in the studies on multiple atrophy system dise...
متن کامل