The phrase "admission mode" is correct and usable in written English.
It can be used in contexts related to processes or systems that involve accepting or allowing entry, such as in education or technology.
Example: "The system will switch to admission mode during the enrollment period to facilitate new student registrations."
Alternatives: "entry mode" or "acceptance mode".
The main objective of the work was to define the optimum operating conditions, i.e. temperature range, pressure, C2H6/O2 ratio, reactant mixture density and oxygen admission mode, in order to maximize the ethylene yield of the process.
They are sometimes operated in partial admission mode, depending on the stability of the energy source, such as solar energy or waste thermal energy, which can fluctuate depending on environmental or process condition.
The admission mode in ICU was the same (Emergencies Department: medium old = 32%%, very old = 22 %, home by SMUR: medium old = 2.8 %, very old = 6.5%%, already hospitalized: medium old = 39%%, very old = 34%%, p = 0.34).
Several variables are collected in the registry including: age, gender, time of admission, mode of arrival, vital signs, injury mechanism, severity scores, procedures, length of hospital stay and discharge disposition (Alghnam et al. 2014).
These provide a special admission mode (special track) in parallel to the existing methods of national entrance examination and direct admission.
The determinants were time of delivery, mother's age, parity, number of previous abortions, gestational age, haemoglobin concentration (Hb) at admission, mode of delivery, perineal tear, sex of the baby, and birthweight.
These paradoxical findings cannot be accounted for through group level adjustments for proportion of trauma admissions, mode of VAP diagnosis and proportion of patients receiving prolonged ventilation.
These observations cannot readily be accounted for with adjustments for group level factors such as proportion of trauma admissions, mode of diagnosis and study quality.
We built a patient-level logistic regression model for the study population that predicted surfactant use as a function of patient level variables (i.e. gestational age, race, gender, day of life on admission, and mode of ventilation).
Patient characteristics, admission diagnosis and mode of death were obtained from the charts and the Critical Care Research Network (CCRNET) database.
The estimation of the probabilities of death has been carried out using the architecture of the standard Summary Hospital Mortality Index (SHMI) model using clinical code on admission, age, sex, mode of admission and co-morbidities (using the Charlson index treated as a categorical variable) [ 11].
