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Algorithms for automatically translating therapeutical recommendations into "if conditions then criticize" rules are presented.
These systems are commonly based on a list of "if conditions then criticism" rules.
However, building the knowledge base requires converting CPG recommendations into these "if conditions then criticism" rules.
A. Asarums are easy to grow if conditions are right.
"If conditions change, you can always change it".
Even if conditions get softer, scores will be more manageable.
The price cap can be changed if conditions warrant it.
But I would consider staying if conditions improved.
If conditions were horrible, they could get resources allocated.
But if conditions are right, the fish will come.
The three Tests should certainly be lively affairs, particularly if conditions are good.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com