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The success of machine learning (ML) algorithms depends on the quality of data given to them. If the input data contains insufficient or irrelevant features, the accuracy of machine learning algorithm decreases. Attribute selection has a key role in creation of classification models. Based on the ‘logic behind the inference’ principle in the Nyaya school of thought, this paper proposes a new method...
This study assessed the prevalence and predictors of suicidality among 462 pregnant women in South India. Women in early pregnancy (<20 weeks) attending an urban public hospital antenatal center were assessed for suicidality using a modified version of the Suicide Behaviors Questionnaire–Revised (SBQR) and a single-item (item 10) from the Edinburgh Postnatal Depression Scale (EPDS). Severity of...
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