Mineração de dados e características da mortalidade infantil Data mining and characteristics of infant mortality

O estudo busca identificar padrões de características materno-fetais na predição da mortalidade infantil, por meio da incorporação de técnicas inovadoras, como a Mineração de Dados, que se mostram relevantes em Saúde Pública. Foi elaborada uma base de dados, com óbitos infantis analisados pelos Comitês de Prevenção da Mortalidade Infantil de 2000 a 2004, a partir da integração dos Sistemas de Informações de Nascidos Vivos, da Mortalidade e da Investigação da Mortalidade Infantil no Estado do Paraná. O programa da mineração foi o WEKA, de uso livre. A mineração faz busca em banco de dados e fornece regras que devem ser analisadas para transformação em informação útil. Após a mineração, selecionaram-se 4.230 regras, por exemplo: mãe adolescente e peso ao nascer < 2.500g, ou parto pós-termo e mãe adolescente com outro filho, ou com afecções maternas, aumentam o risco para óbito neonatal. Vê-se a necessidade de estabelecer maior atenção às adolescentes, às crianças com peso ao nascer < 2.500g, pós-termo e filhas de mães com afecções maternas, confirmando resultados de outros estudos.<br>This study aims to identify patterns in maternal and fetal characteristics in the prediction of infant mortality by incorporating innovative techniques like data mining, with proven relevance for public health. A database was developed with infant deaths from 2000 to 2004 analyzed by the Committees for the Prevention of Infant Mortality, based on integration of the Information System on Live Births (SINASC), Mortality Information System, and Investigation of Infant Mortality in the State of Paraná. The data mining software was WEKA (open source). The data mining conducts a database search and provides rules to be analyzed to transform the data into useful information. After mining, 4,230 rules were selected: teenage pregnancy plus birth weight < 2,500g, or post-term birth plus teenage mother with a previous child or intercurrent conditions increase the risk of neonatal death. The results highlight the need for greater attention to teenage mothers, newborns with birth weight < 2,500g, post-term neonates, and infants of mothers with intercurrent conditions, thus corroborating other studies

Nesting ecology of Podocnemis expansa (Schweigger, 1812) and Podocnemis unifilis (Troschel, 1848) (Testudines, Podocnemididae) in the Javaés River, Brazil

Nest site has influence on incubation duration and hatching success of two Neotropical turtles, the Giant Amazon River Turtle (Podocnemis expansa) and Yellow-Spotted Side-Neck Turtle (Podocnemis unifilis - "Tracajá"). The 2000 and 2001 nesting seasons have been monitored at the Javaés River in Bananal Island, Brazil. Although they nest on the same beaches, there is a separation of the nesting areas of P unifilis and P. expansa nests on the upper parts of the beach. The incubation duration for P. expansa is influenced by the nesting period, the height of the nest from the river, the clutch size, and the grain size in the site of the nest. Nests of Podocnemis expansa placed in coarse sediments have shorter incubation duration than those placed in finer sediments. The hatching success in P. expansa is influenced by grain size, incubation duration, and nesting period. The grain size is negatively correlated with hatching success, indicating that the nests situated in finer-grained sand have better chances of successful egg hatching than those in coarser-grained sand. Nests of the end of the reproductive season have lower hatching success and incubation duration than those at the start of the season. For P. unifilis, the nesting period and nest depth influence the incubation duration; moreover, the river dynamics significantly affect the hatching success. The oscillation of the river level and the moment of initial increase, the height of the nest from the river level, and the nesting period are all decisive components for hatching success. The results of this research show the importance of protecting areas with great geological diversity, wherein the features of the environment can affect the microenvironment of nests, with consequences on incubation duration and hatching success