Sentence examples for predicted those who from inspiring English sources
He predicted those who had helped oust Sánchez were unlikely to find their efforts rewarded.
As the relative-income model predicted, those who'd learned that they were earning less than their peers were ticked off.
For example, all patients requiring ICU care preoperatively could be included; in this way, patients who eventually went to ICU as predicted, those who did not go to ICU but were later admitted and those who never had to go to ICU, might be compared.
In a subsequent paper, we will report on whether these instruments predicted those who were eventually conditionally discharged.
Younger age, higher KOS-ADLS scores, faster TUG and SCT times, stronger quadriceps and full knee extension predicted those who do not undergo TKA.
We predicted those who were demobilized collectively would still be attracted to violence, and benefit from the resilience against trauma-related mental suffering, moderated by appetitive aggression, as they would have continued fighting had they not been forced to stop.
Although UK APACHE II scores performed best, none of the existing mortality prediction models reliably predict those who will survive to leave hospital following an episode of ARF in the ICU.
So while today's high school and college students will be the ones creating the new public agencies and Internet infrastructures, Mr. Howe predicts, those who follow "will come of age wanting to participate in a system they trust and take for granted" — the next Silent Generation.
In this review we discuss if neuroimaging may be utilised to diagnose patients with psychosis, predict those who will develop the illness in those at high risk, and stratify patients.
Predicting those who are likely to survive with good neurological outcome following out of hospital cardiac arrest (OHCA) is important for patients, their carers and society - however prognostication following OHCA is difficult.
While the results need first to be replicated and improved upon, Roland Zahn, who led the work, said the approach may prove important in the future "as there are currently no accurate ways to predict those who will have a recurrence following recovery".
