OBJECTIVE: To determine maternal and perinatal morbidity and mortality caused by abruptio placentae at the Obstetrical Service, Dos de Mayo Hospital, during years 1990 through 1995. DESIGN: Descriptive study, reviewing maternal clinical histories and neonatology registry. RESULTS: During this period 133 cases of abruptio placentae ocurred, incidence 0,77%; 68 histories were found. Most frequent age varied from 20 to 30 years (57,2%), almost 50% were term pregnancies, most did not have pre natal control ot it was insufficient (70,5%), parity was less than two (63,1%). Most frequent concomitant pathology was hypertensive disease (41,1%). Major symptomatology consisted in hemorrhage (64,7%), perinatal mortality was about 50%, with severe asphyxia in most of newborns. Neonatal morbidity consisted in infections, with sepsis in 12,1%. There was no maternal mortality. Puerperal morbidity was du...

OBJECTIVE: To determine maternal and perinatal morbidity and mortality caused by abruptio placentae at the Obstetrical Service, Dos de Mayo Hospital, during years 1990 through 1995. DESIGN: Descriptive study, reviewing maternal clinical histories and neonatology registry. RESULTS: During this period 133 cases of abruptio placentae ocurred, incidence 0,77%; 68 histories were found. Most frequent age varied from 20 to 30 years (57,2%), almost 50% were term pregnancies, most did not have pre natal control ot it was insufficient (70,5%), parity was less than two (63,1%). Most frequent concomitant pathology was hypertensive disease (41,1%). Major symptomatology consisted in hemorrhage (64,7%), perinatal mortality was about 50%, with severe asphyxia in most of newborns. Neonatal morbidity consisted in infections, with sepsis in 12,1%. There was no maternal mortality. Puerperal morbidity was du...

In the field of databases, the lack of traceability of transactions or operations in a database is vital to respond to incidents that may originate within them, such as the alteration of unauthorized information. This article proposes an auditing model to mitigate risk using Oracle's object and transaction auditing approach. Finally, a laboratory was implemented in which the proposed model was deployed, ensuring the information's confidentiality, integrity, and availability.

With the development of the pandemic in Peru, the number of deaths has been increasing and unfortunately the appropriate measures have not been taken, this because we do not have a tool that allows us to know the number of possible deaths in a given time. The objective of this article is to propose a tool capable of predicting the number of deaths from COVID-19 as a function of time. The methodology used was artificial neural networks using time series with information obtained from the Ministry of Health of the Peruvian state through its open data portal. The results achieved had a mean square error of 0.0037 and a loss of 0.0480. The results obtained throughout the article confirm the validity of this tool and its effectiveness in predicting the number of deaths from COVID 19.