ARO FACTORS DETERMINING ASSOCIATED WITH MATERNAL DEATHS DATA MINING IN MATERNAL CHILD REGIONAL HOSPITAL- HUANCAYO
DOI:
https://doi.org/10.26490/uncp.prospectivauniversitaria.2011.8.1275Keywords:
Data Mining, Danger Obstetrics, Maternal DeathAbstract
This research work has been developed because of the importance of today protecting postpartum mothers, since in recent years have been producing an increase in maternal deaths in our region. We must show that maternal deaths today are considered underdevelopment factors. The Maternal Child Regional Hospital now has an information system called SIP-2000 (Perinatal Information System - 2000), developed by the Ministry of Health in collaboration with international agencies such as USAID. The SIP-2000 system allows registration of various data pertaining to postpartum women who come to the health center from their prenatal, birth process and postpartum. This information is recorded considers multiple factors such as the high-risk obstetrics (ARO), all related to the puerperal like: Abortions, C-Section, age, origin, number of previous births, venereal morbidities, etc. All these data can be processed and analyzed to determine the factors that are a cause of death in postpartum women. Using models that provides data analysis data mining, research results provide direct variables influencing high-risk obstetrics in maternal death. Factors to be taken into account by the respective levels of government in order to change the so oppressive situation our mid region lives.
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