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Supervised machine learning algorithms are powerful classification techniques commonly used to build prediction models that help diagnose the disease early. However, some challenges like overfitting and underfitting need to be overcome while building the model. This paper introduces hybrid classifiers using the ensembled model with a majority voting technique to improve prediction accuracy. Furthermore, a proposed preprocessing technique and features selection based on a genetic algorithm is suggested to enhance prediction performance and overall time consumption. In addition, the 10-folds cross-validation technique is used to overcome the overfitting problem. Experiments were performed on a dataset for cardiovascular patients from the UCI Machine Learning Repository. Through a comparative analytical approach, the study results indicated that the proposed ensemble classifier model achieved a classification accuracy of 98.18% higher than the rest of the relevant developments in the study.

OBJETIVO: Estudar a concordância no diagnóstico radiológico das infecções respiratórias agudas baixas em crianças. MÉTODOS: Sessenta radiogramas do tórax de crianças menores de cinco anos foram avaliados, individualmente, por três médicos: um radiologista pediátrico (RP), um pneumologista pediatra (PP) e um pediatra experiente no atendimento de sala de emergência (PE). Todas as crianças tinham procurado atendimento por apresentar um quadro agudo de infecção respiratória com aparente participação pulmonar. Os avaliadores desconheciam os diagnósticos originais, mas receberam uma ficha padrão com dados clínicos e laboratoriais dos pacientes no momento da consulta inicial. As variáveis investigadas foram agrupadas em cinco categorias: a) qualidade técnica do filme; b) localização da alteração; c) padrões radiográficos; d) outras alterações radiográficas; e) diagnóstico. Utilizou-se a estatística de Kappa para estudar a concordância entre as três duplas possíveis de observadores, aceitando-se os valores ajustados para viés de prevalência (KAVIP). RESULTADOS: Os valores de Kappa totais de cada dupla de observadores (RP x PP, RP x PE e PP x PE) foram 0,41, 0,43, e 0,39, respectivamente, o que representa, em média, uma concordância interobservadores moderada (0,41). Em relação às outras variáveis, "qualidade técnica" teve uma concordância regular (0,30); "localização", moderada (0,48); "padrões radiográficos" regular (0,29); "outras alterações radiográficas", moderada (0,43); e "diagnóstico", regular (0,33). Quanto à concordância global intraobservadores, a mesma foi moderada (0,54), com valores menores do que os descritos na literatura. CONCLUSÕES: A variabilidade interobservadores é inerente à interpretação dos achados radiológicos. A determinação do diagnóstico exato das infecções respiratórias agudas baixas nas crianças impõe desafios. Nossos resultados foram similares aos descritos na literatura.

Background/objectives: Autistic adults exhibit core and comorbid features that can have an impact on their daily functioning and lead to considerable psychological distress. Significant and consistent associations have been identified between autism characteristics-restricted repetitive behaviors and sensory features-and high levels of stress and anxiety. For a better understanding of the issue, it is necessary to consider the cognitive aspects that can help explain variations in stress and anxiety levels among adults with autism. We therefore aimed to model the contributions of worry and intolerance of uncertainty on the relationship between autism characteristics (sensory sensitivities and repetitive behaviors) and psychological distress (stress and anxiety)., Methods: The sample comprised 144 autistic individuals with a mean age of 35.15 (SD = 11.44). They participated in the study by completing an online questionnaire to assess the study variables. Most of the participants reported being diagnosed with Asperger syndrome (63.6%) or Level 1 autism spectrum disorder (27.1%)., Results: The model fit index values tested through path analysis indicated a good fit (χ 2 = 5.65; p = 0.13 ns; CFI = 0.993; NFI = 0.985; RMSEA = 0.079; SRMR = 0.025) and identified worry and intolerance of uncertainty as significant mediating variables within a comprehensive explanatory model., Conclusions: These findings highlight the importance of worry and intolerance of uncertainty as specific targets in interventions aimed at improving stress and anxiety problems in autistic adults.

The objective of this study was to examine the relationships of participants' home characteristics (living space) and job prospects after the coronavirus disease 2019 (COVID-19) pandemic to their subjective psychological well-being (SWB) (in terms of both affective and cognitive aspects). We also examined the role of participants' resilience as a possible mediator in the relationships among the aforementioned variables. The sample comprised 474 Spanish adults who completed an online questionnaire between 14 and 24 April 2020, when COVID-19 confinement was very strict in Spain. We proposed a path analysis model including the described variables. The model presented a good fit (χ 2 = 7.41, df = 5, p = 0.376, comparative fit index = 0.996, Tucker-Lewis index = 0.987; root mean square error of approximation = 0.032). The results indicated that living space and future job prospects predicted resilience, which, in turn, was related to SWB. Moreover, the bootstrapping results revealed a mediating effect of resilience that showed indirect relationships between living space and SWB and between job prospects and SWB. Our results underline the importance of environmental (living space) and job-related variables to predict SWB as well as the mediating role that resilience may play during the confinement period.

Parents' perception of the positive contributions associated with raising children with autism is considered to be a protective factor in the process of psychological adaptation. Thus, it is essential to unveil what factors are related to this perception. We explore how parents' psychological distress (parental stress and anxiety) predicts the perception of positive contributions in fathers and mothers who raise individuals with different levels of autism severity. The sample comprises 135 couples (270 fathers and mothers) parenting individuals diagnosed with autism aged 3-38 years. Participants completed different self-report questionnaires, including measures of parental stress, anxiety, and positive contributions. To estimate the actor-partner interdependence model, data were analyzed using structural equation modeling (SEM) to explore transactional effects between fathers' and mothers' psychological distress and their perceptions of positive contributions associated with autism. Two separate multigroup models were tested, respectively, analyzing parental stress and anxiety. Each multigroup model considers two levels of disorder severity. The findings revealed that actor and partner effects of stress and anxiety were important predictors of the perception of positive contributions in both disorder severity groups. We conclude that it is necessary to develop family support programs that focus on controlling fathers' and mothers' stress and anxiety symptoms, as these mental states negatively impact the ability to perceive positive contributions., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 García-López, Recio, Pozo and Sarriá.)

The use of humanoid robots as assistants in therapy processes is not new. Several projects in the past several years have achieved promising results when combining human-robot interaction with standard techniques. Moreover, there are multiple screening systems for autism; one of the most used systems is the Quantitative Checklist for Autism in Toddlers (Q-CHAT-10), which includes ten questions to be answered by the parents or caregivers of a child. We present Q-CHAT-NAO, an observation-based autism screening system supported by a NAO robot. It includes the six questions of the Q-CHAT-10 that can be adapted to work in a robotic context; unlike the original system, it obtains information from the toddler instead of from an indirect source. The detection results obtained after applying machine learning models to the six questions in the Autistic Spectrum Disorder Screening Data for Toddlers dataset were almost equivalent to those of the original version with ten questions. These findings indicate that the Q-CHAT-NAO could be a screening option that would exploit all the benefits related to human-robot interaction., (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)

Objectives: As reported in other high-income countries, around the 2008 Great Recession the Spanish banking sector engaged abusive practices that satisfy the definition of fraud. Our objective is to examine the association between self-reported bank fraud and physical health, using a gender perspective., Methods: With data from the 2017 Madrid Health Survey, we examined the association between the economic impact of fraud and poor self-rated health (SRH), comorbidity and pain (N = 4425). Interactions of time since fraud and sex with economic impact were tested by Poisson regression models with robust variance., Results: In total, 11% of adults in Madrid reported bank fraud since 2006. Among men, those who experienced frauds with severe economic impact were more likely to report adverse health than those who did not experience fraud (PR comorbidity: 1.46; PR pain conditions: 2.17). Among men time elapsed since fraud strengthened the association between severe economic impact and poor SRH (p = 0.022; p = 0.006, respectively). Among women, associations did not reach statistical significance., Conclusions: Bank frauds are an emerging phenomenon which is likely to damage public health. Stricter regulation to protect people from fraudulent bank practices is needed.

Over the past few decades, the financial system has engaged in abusive practices that meet the definition of fraud. Our objective is to compare the prevalence of psychological distress and levels of health-related quality of life according to having been exposed to financial fraud and its economic impact on family finances. The City of Madrid Health Survey 2017 included specific questions on exposure to financial fraud-this section was administered to half of the participants ( n = 4425). Mental health need or caseness was defined by a score greater than two on the 12-item version of the Goldberg health questionnaire. Health-related quality of life was assessed by the Darmouth Coop Functional Health Assessment Charts/WONCA (COOP/WONCA). The prevalence of financial fraud was 10.8%. The prevalence rate ratio for caseness of those who experienced severe economic impact due to fraud was 1.62 (95%, CI 1.17-2.25; reference: no fraud), after adjustment by age, sex, social class, and immigrant status. Women experienced a decreased quality of life, even with a moderate impact of fraud, while men experienced a decreased quality of life related to fraud with severe economic impact. The current study contributes to a growing body of literature showing the effects of economic shocks on health as a result of financial fraud.