ASSOCIATING MEASLES VACCINE UPTAKE CLASSIFICATION AND ITS UNDERLYING FACTORS USING AN ENSEMBLE OF MACHINE LEARNING MODELS

Associating Measles Vaccine Uptake Classification and its Underlying Factors Using an Ensemble of Machine Learning Models

Measles is one of the significant public health issues responsible for the high mortality rate around the globe, especially for developing countries.Using nationally representative demographic and health survey data, measles vaccine utilization has been classified, and its underlying factors are identified through an ensemble Machine Learning (ML)

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Empirically-derived dimensions of childhood adversity and cumulative risk: associations with measures of depression, anxiety, and psychosis-spectrum psychopathology

Background: Investigating different approaches to operationalizing childhood adversity and how they relate to transdiagnostic psychopathology is relevant to advance research on mechanistic processes and to inform intervention efforts.To our knowledge, previous studies have not used questionnaire and interview measures of childhood adversity to exam

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Modeling minor actinide multiple recycling in a lead-cooled fast reactor to demonstrate a fuel cycle without long-lived nuclear waste

The concept of closed nuclear fuel cycle seems to be the most promising options for the efficient usage of the nuclear energy resources.However, it can Pendants be implemented only in fast breeder reactors of the IVth generation, which are characterized by the fast neutron spectrum.The lead-cooled fast reactor (LFR) was defined and studied on the l

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