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This list includes health risks and specific disease topics included.
We chose four disease topics and processed PubMed citations addressing their drug treatment and prevention.
We downloaded PubMed citations addressing the prevention and drug treatment of four disease topics.
In this current study, we examined dynamic summarization for just four disease topics.
MicrobeWorld also includes videos and images, again primarily on disease topics.
The conventional schema output was less than that of dynamic summarization for drug treatment data, for all four disease topics.
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Every author of an infectious disease topic assumes this task, at least implicitly.
We captured the DynaMed text for recommendations on both preventive and drug treatment interventions for each disease topic.
For example, since our study aims to obtain the genes related to the selected disease topic, gngm is the most related semantic type.
We also thank Stephane Meystre for his counsel in disease topic selection, and Thomas Rindflesch for his essential work in natural language processing.
However, in a pilot project the system produced 100% recall for prevention data on a single disease topic (acute pancreatitis), with only 156 citations [ 41].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com