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Full-Text Articles in Physical Sciences and Mathematics
Complex Network Analysis For Scientific Collaboration Prediction And Biological Hypothesis Generation, Qing Zhang
Complex Network Analysis For Scientific Collaboration Prediction And Biological Hypothesis Generation, Qing Zhang
Theses and Dissertations
With the rapid development of digitalized literature, more and more knowledge has been discovered by computational approaches. This thesis addresses the problem of link prediction in co-authorship networks and protein--protein interaction networks derived from the literature. These networks (and most other types of networks) are growing over time and we assume that a machine can learn from past link creations by examining the network status at the time of their creation. Our goal is to create a computationally efficient approach to recommend new links for a node in a network (e.g., new collaborations in co-authorship networks and new interactions in …
Disease Name Extraction From Clinical Text Using Conditional Random Fields, Omid Ghiasvand
Disease Name Extraction From Clinical Text Using Conditional Random Fields, Omid Ghiasvand
Theses and Dissertations
The aim of the research done in this thesis was to extract disease and disorder names from clinical texts. We utilized Conditional Random Fields (CRF) as the main method to label diseases and disorders in clinical sentences. We used some other tools such as MetaMap and Stanford Core NLP tool to extract some crucial features. MetaMap tool was used to identify names of diseases/disorders that are already in UMLS Metathesaurus. Some other important features such as lemmatized versions of words, and POS tags were extracted using the Stanford Core NLP tool. Some more features were extracted directly from UMLS Metathesaurus, …