Random Regression
Mostrando 1-12 de 298 artigos, teses e dissertações.
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1. Inteligência artificial e previsão de óbito por Covid-19 no Brasil: uma análise comparativa entre os algoritmos Logistic Regression, Decision Tree e Random Forest
RESUMO Este trabalho fez uso da inteligência artificial para contribuir com evidências empíricas que auxiliem na previsão de morte por Covid-19, possibilitando a melhoria de protocolos de saúde utilizados em sistemas de saúde no Brasil e dotando a sociedade com mais ferramentas de combate a essa doença. Utilizaram-se dados de janeiro a setembro de 202
Saúde em Debate. Publicado em: 2022
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2. Outcomes of endoscopic and open resection of sinonasal malignancies: a systematic review and meta-analysis
Abstract Objective: To compare the efficacy of endoscopic and open resection of sinonasal malignancies. Methods: The search was performed using PubMed (1950–2020), Embase (1974–2020), the Cochrane library, and the website clinicaltrials.gov. The hazard ratio, HR, 95% confidence interval, CI, of the rates of overall survival and disease-free survival an
Brazilian Journal of Otorhinolaryngology. Publicado em: 2022
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3. Do varsity college athletes have a greater likelihood of risky alcohol and cannabis use than non-athletes? Results from a National Survey in Brazil
Objective: We examined the prevalence of risky alcohol and cannabis use among Brazilian varsity college athletes and whether this group had a greater likelihood of risky use than non-athletes. Methods: In 2009, Brazilian college students (n=12,711) were recruited for a national stratified random survey. Their sociodemographic characteristics, mental health,
Brazilian Journal of Psychiatry. Publicado em: 2022
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4. Predictive model for difficult laryngoscopy using machine learning: retrospective cohort study
Abstract Background Both predictions and predictors of difficult laryngoscopy are controversial. Machine learning is an excellent alternative method for predicting difficult laryngoscopy. This study aimed to develop and validate practical predictive models for difficult laryngoscopy through machine learning. Methods Variables for the prediction of difficul
Brazilian Journal of Anesthesiology. Publicado em: 2022
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5. Common mental disorders among medical students: systematic review and meta-analysis of Brazilian studies
ABSTRACT BACKGROUND: Common mental disorders (CMDs) have been correlated with consequences in different domains of life. OBJECTIVE: To summarize the prevalence rates of CMDs and factors associated with them among students at Brazilian medical schools. DESIGN AND SETTING: Systematic review and meta-analysis of studies developed in Brazilian medical schools
Sao Paulo Medical Journal. Publicado em: 2022
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6. Decreased circulatory levels of Vitamin D in Vitiligo: a meta-analysis
Abstract Background: The serum Vitamin D status in patients with vitiligo is ambiguous when compared to controls. A systematic review and updated meta-analysis were conducted to evaluate the association between Vitamin D and vitiligo. Methods: Relevant studies were identified by searching PubMed and other databases. The random effects model was used to obt
An. Bras. Dermatol.. Publicado em: 2021-06
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7. Prevalence of hoarding disorder among primary care patients
Objectives: Despite the inclusion of hoarding disorder (HD) in the DSM-5, there is little epidemiological data on hoarding from low and middle-income countries. This study, the first from India, examines the prevalence and correlates of HD among primary care patients in the state of Kerala, India. Methods: To assess correlates, the Hoarding Rating Scale-In
Braz. J. Psychiatry. Publicado em: 2021-04
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8. A note on real estate appraisal in Brazil
Abstract Brazilian banks commonly use linear regression to appraise real estate: they regress price on features like area, location, etc, and use the resulting model to estimate the market value of the target property. But Brazilian banks do not test the predictive performance of those models, which for all we know are no better than random guesses. That int
Rev. Bras. Econ.. Publicado em: 2021-03
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9. Prediction of impacts on liver enzymes from the exposure of low-dose medical radiations through artificial intelligence algorithms
SUMMARY OBJECTIVES: This study aimed to develop artificial intelligence and machine learning-based models to predict alterations in liver enzymes from the exposure of low annual average effective doses in radiology and nuclear medicine personnel of Institute of Nuclear Medicine and Oncology Hospital. METHODS: Ninety workers from the Radiology and Nuclear M
Rev. Assoc. Med. Bras.. Publicado em: 2021-02
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10. Quantifying individual variation in reaction norms using random regression models fitted through Legendre polynomials: application in eucalyptus breeding
ABSTRACT An accurate, efficient and informative statistical method for analyses of genotype × environment (G × E) interactions is a key requirement for progress in any breeding program. Thus, the objective of this study was to quantify individual variation in reaction norms using random regression models fitted through Legendre polynomials in eucalyptus (E
Bragantia. Publicado em: 2020-12
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11. The impact of exercise in improving executive function impairments among children and adolescents with ADHD, autism spectrum disorder, and fetal alcohol spectrum disorder: a systematic review and meta-analysis
Abstract Objective: he goal of this work was to perform a systematic review and meta-analysis evaluating and comparing exercise related improvements in various executive function (EF) domains among children and adolescents with attention-deficit hyperactivity disorder (ADHD), Autism Spectrum Disorders (ASD), and Fetal Alcohol Spectrum Disorders (FASD). Met
Arch. Clin. Psychiatry (São Paulo). Publicado em: 2020-10
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12. Excessive consumption of tianeptine by a person with former alcohol problem
Abstract Objective: he goal of this work was to perform a systematic review and meta-analysis evaluating and comparing exercise related improvements in various executive function (EF) domains among children and adolescents with attention-deficit hyperactivity disorder (ADHD), Autism Spectrum Disorders (ASD), and Fetal Alcohol Spectrum Disorders (FASD). Met
Arch. Clin. Psychiatry (São Paulo). Publicado em: 2020-10