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We used the following features: (2) 1 ) ∑ i ∈ h-region h (i ), 2 ) ∑ i ∈ n-region p (i ), 3 ) ∑ i ∈ n-region n (i ), 4 ) ∑ i ∈ n-region n (i ) and 5) ∑ i ∈ c-region o (i ) where p(i), n(i) and o(i) are 0-1 binary variables equal to 1 when the ith residue is positively {K, R, H} or negatively {D, E} charged, or one of {A, G, S}, respectively.
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The variable GENDER is a binary variable equal to one for "female" admissions.
The "OWNERSHIP" variable is a binary variable equal to one if the hospital is a for-profit hospital.
Where Neonatal is a binary variable equal to 1 if the child died in the neonate stage and zero otherwise.
A binary variable equal to 1 if machine (m) is located at location (l) in time period (t); 0 otherwise.
Binary Variables: (alpha _{m,l,t}) A binary variable equal to 1 if machine (m) is located at location (l) in time period (t); 0 otherwise.
We estimated our basic model using the Emergency Department variable, which is a binary variable equal to one if the admission originated in the Emergency Department of the hospital.
Therefore, we estimated our basic model using the variable Died in Hospital, which is a binary variable equal to one if the individual died in the hospital.
Finally, the variable Emergency Department is a binary variable equal to one if the admission originated in the Emergency Department of the hospital.
Finally, the variable Operating Room Procedure is a binary variable equal to one if a major operating room procedure is performed.
A binary variable equal to 1 if (n th sublot of product (p) is created and processed in time period (t); 0 otherwise.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com