Method for clinical management recommendation in obstetric sepsis and perinatal complications

Abstract

Obstetric sepsis remains one of the most challenging and dangerous complications in the field of obstetrics, representing a significant cause of both maternal and perinatal morbidity and mortality worldwide. This critical complication, arising from a disproportionate immune response to an infection during pregnancy, childbirth or postpartum, requires a highly specialized and evidence-based management approach to mitigate its adverse effects. Clinical management in obstetric sepsis and perinatal complications can be expressed through a direct relationship of neutrality performance representing a domain of neutrosophic values to model uncertainty. The implementation of Soft Computing techniques has been used to represent uncertainty in decision-making processes of this nature. The present research aims to develop a method for clinical management recommendation in obstetric sepsis and perinatal complications. The results of the proposed method contribute to recommending strategies to prevent, diagnose and effectively treat this condition, as well as to the identification and management of associated perinatal complications.