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The mean and standard deviation for the number of admissions per employee were 712 and 274, respectively The mean and standard deviation for number of beds per employee were 029 and 014, respectively The higher standard deviation of number of admissions per employee compared to the number of beds per employee shows that some hospitals have lower admissions per employee compared to other hospitals The differences in hospitals in terms of number of beds per employee are relatively low Among the set of factors that lead to the demand of human resources are the admissions, physical capacity (beds in our case), special ambulatory services, type of hospital, and the top DRG service In other words, the employee requirement may be represented in the following functional form: Number of employees f admissions; number of beds; number of emergency service visits; hospital ownership; top DRG where f() maps the independent variables to the dependent variable The total number of employees is a monotonic function of admissions, number of beds, and number of emergency service visits The hospital ownership and top DRG are binary variables that were operationalized as 0 and 1 For the not-for-pro t hospitals the value of 1 as used and for pro t hospitals a value of 0 was used In the case of top DRG, when top DRG was 127 (about 80% of the time) a value of 1 was used for input; a value of 0 was used for input when the top DRG was not 127 Since there are only three independent variables that take continuous values, and the dependent variable is considered to have a monotonic relationship with these three independent variables, four variables are used to compute technical ef ciency using DEA These four variables provide a one output (number of employees) and three inputs (admissions, number of beds, and number of emergency visits) combination for computing ef ciency using DEA [13] In our ANN analysis, 175 hospitals were selected from 188 hospitals Thirteen hospitals were discarded since the top DRG in these hospitals was different from the top DRGs listed in Figure 36 All the selected 175 hospitals contained one of the top ve DRGs identi ed in Figure 36 as the major DRG We conducted two different experiments Our rst experiment consisted of randomly dividing the data into two sets The rst set, consisting of 100 hospitals, was used to train the neural network, while the second, comprising 75 hospitals, was used to test the performance of the trained neural network In our second experiment, we took the rst set of 100 hospitals and computed the relative ef ciency of each hospital using DEA The of 100 hospitals was then divided into two sets of 50 hospitals The rst set of 50 hospitals was called ef cient and the other set of hospitals was called inef cient set The ef cient set contained the top 50 highest-ranking hospitals based on their DEA ef ciency score It has been suggested that training data for nonparametric models should be at least 10 times the number of input variables Since we have ve inputs, a minimum of. how to edit pdf file in asp.net c# C# ASP.NET PDF Editor Control: create, view, annotate, redact, edit ...
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