A mathematical approach improves the predictability of length of hospitalization due to acute odontogenic infection: A retrospective investigation of 303 patients

Increasing rates of hospitalization of patients diagnosed with acute odontogenic infection have become a burden for public health care, with significant economic concerns. The aim of this study was to investigate factors that tend to prolong hospital length of stay (LOS) in the treatment of severe infections. We present a statistical model that enables the prediction of LOS by exposing the feasibility of the essential statistical determinants.

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