Mineração de dados de autopsia para determinar as causas de morte na depressão
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2021-10-08
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Universidade Federal de Goiás
Resumo
Depression is associated with increased mortality, but the causes of death related to depression,
as well as the life expectancy of patients, are still poorly explored and controversial. Identifying
possible diseases associated with death in patients with depression can help in public health
policy decision making and culminate in more specific treatments, prevention strategies, and
improved life expectancy for these patients. In studies on causes of death which autopsy
examinations are analyzed, it is possible to acquire more accurate information about the
diseases related to death, since the autopsy determines the precise cause of death. In this
study, we evaluated the causes of death of 1,136 subjects, according to autopsy reports from
the Death Verification Service of the Capital (SVOC-USP) in the metropolitan region of São
Paulo. The diagnosis of depression of these subjects was made according to the Structured
Clinical Interview for DSM-IV (SCID). Data mining based on the ICDs of causes related to death
was performed, in which eleven Machine Learning algorithms were applied in order to search
for patterns to determine the possible causes of death related to depression. In addition to
major depression, eight other subgroups of depression were analyzed. Although this study
perfomed a broad investigation in the general population and in specific groups of patients, the
results obtained by the generated models do not indicate differences in patterns in the causes
of death in individuals with and without depression. This result corroborates with previous
studies in the literature where the evidences for all-cause and cause-specific causes of death
and depression are not significant.
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CAMPOS, L. M. C. Mineração de dados de autopsia para determinar as causas de morte na depressão. 2021. 96 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2021.