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One must discover terms and concepts with which to pose questions, identify areas of uncertainty and interest to practitioners of the field of inquiry, and generate one's own questions and sketch their answers.
A machine learning algorithm with contextual features has a chance to discover terms missed by dictionary-based methods.
In such situation, it is desirable to discover terms that have genes that are significantly upregulated even if many genes from the same term are downregulated.
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The latter is a model-based framework for discovering terms and facts from a database.
Returning to the restaurant example, if the owner decides to take the second approach (i.e., having the new employee use the classified data to infer classification rules and diagnostic text terms) the new employee will need to identify 'positive reviews' and 'negative reviews' and discover key terms diagnostic of each category.
Based on this framework, an algorithm is presented to discover the key terms and related terms to form the hot topics.
This system shows the viability of mining FDA labels to discover ADR terms; it relies on MedDRA as a dictionary to extract terms that represent ADRs in the drug labels.
It's composed of open data (Endnote 5) licenses (Endnote 6)(covering not only copyright and database rights, but issues of privacy, identity, and more (Endnote 7)), legal user interfaces to make sure users understand the terms, and technological implementations for licenses, so that machines can negotiate and discover the terms under which a given piece of data is (or isn't) available.
Graham Stuart, the Tory chair of the Commons education select committee, said his colleagues from all three main parties had been aghast to discover the terms of the deal when they took evidence in response to a complaint by the British Association of Social Workers (BASW).
Focus groups also helped us discover which terms should not be used as response options (e.g., "mottled" to describe the infant's color, and "floppy" or "hypotonic" to describe the infant's tone).
The reader could find it of interest to discover short-term Foresight approaches in rapidly changing fields (e.g. biotechnologies and medical devices), medium term (Industry 4.0) and long term (when the change of an entire city is under study).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com