Ai Feedback
Exact(29)
Demographic data, severity score (APACHEII and SOFA) and laboratory data were recorded.
Demographic data, severity of tICH, medication, level of care, type of head surgery were collected.
Demographic data, severity scales, organ failure and doses of noradrenalin were registered.
Demographic data, severity indexes at admission and physiological variables were recorded.
We found no significant difference between survivors and non-survivors in demographic data, severity of COPD, mobility or co-morbidities.
Demographic data, severity of illness, risk factors for colistin-resistance (described in previous studies), clinical management and hospital outcome of all cases were recorded.
Similar(31)
Demographic, clinical and interventional data, complications, severity scores and outcome scores were recorded.
Patients' demographic data and severity scores (APACHE II, SAPS and SOFA) were collected.
It is unknown how missing data for severity indicators, or for outcome (n = 128; 4 %), may have influenced results.
Clinical and demographic data and severity scores [15],[16] were collected for each patient at baseline (at inclusion = 0 h).
Comparative data on severity and treatment of seasonal, pandemic and post-pandemic influenza virus infections are scarce.
Write better and faster with AI suggestions while staying true to your unique style.
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