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First, three mathematical models are proposed by defining divergence as cross-entropy, average return as expected value and risk as variance, semivariance and chance of bad outcome, respectively.
For the most part global warming has been perceived like the other kind of stroke (high blood pressure, stress, bad diet raising risk of bad outcome).
But being an obstetrician and reviewing many cases of supposed malpractice, I can assure you that there is malpractice, but many of the cases of bad outcome are not due to malpractice.
Low systolic blood pressure called "shock" and right ventricular dysfunction were identified as predictors of bad outcome.
Finally, none of the aforesaid studies have tested SV on admission as a predictor of bad outcome in critically ill burn patients.
Each AES category exhibited a higher rate of bad outcome.
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Why not compensate victims of bad outcomes regardless of fault?
For some, sedentary time is a marker, not the cause, of bad outcomes.
In humans, negative feelings are reliably correlated with pessimistic cognitive biases, defined as the increased expectation of bad outcomes [9 11].
Much effort has been spent developing models to predict patient risk of bad outcomes, such as admissions (and/or readmissions).
A bigger hope is that this can be used to insure against a range of bad outcomes.
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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