Random Regression Model
Mostrando 1-12 de 115 artigos, teses e dissertações.
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1. 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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2. 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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3. 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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4. 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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5. 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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6. 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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7. Kidney displaced by giant retroperitoneal liposarcoma in HIV patient
ABSTRACT Objective To assess the association between prostate volume index (PVI), and prostatic chronic inflammation (PCI) as predictors of prostate cancer (PCA). PVI is the ratio between the central transition zone volume (CTZV) and the peripheral zone volume (PZV). Materials and methods Parameters evaluated included age, prostate specific antigen (PSA)
Int. braz j urol.. Publicado em: 2020-08
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8. Editorial Comment: Effect of smoking cessation on sexual function in men aged 30 to 60 years
ABSTRACT Objective To assess the association between prostate volume index (PVI), and prostatic chronic inflammation (PCI) as predictors of prostate cancer (PCA). PVI is the ratio between the central transition zone volume (CTZV) and the peripheral zone volume (PZV). Materials and methods Parameters evaluated included age, prostate specific antigen (PSA)
Int. braz j urol.. Publicado em: 2020-08
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9. Editorial Comment: Novel Treatment for Premature Ejaculation in the Light of Currently Used Therapies: A Review
ABSTRACT Objective To assess the association between prostate volume index (PVI), and prostatic chronic inflammation (PCI) as predictors of prostate cancer (PCA). PVI is the ratio between the central transition zone volume (CTZV) and the peripheral zone volume (PZV). Materials and methods Parameters evaluated included age, prostate specific antigen (PSA)
Int. braz j urol.. Publicado em: 2020-08
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10. Elevated prostate volume index and prostatic chronic inflammation reduce the number of positive cores at first prostate biopsy set: results in 945 consecutive patients
ABSTRACT Objective To assess the association between prostate volume index (PVI), and prostatic chronic inflammation (PCI) as predictors of prostate cancer (PCA). PVI is the ratio between the central transition zone volume (CTZV) and the peripheral zone volume (PZV). Materials and methods Parameters evaluated included age, prostate specific antigen (PSA)
Int. braz j urol.. Publicado em: 2020-08
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11. Editorial Comment: Effect of Behavioral and Pelvic Floor Muscle Therapy Combined With Surgery vs Surgery Alone on Incontinence Symptoms Among Women With Mixed Urinary Incontinence: The ESTEEM Randomized Clinical Trial
ABSTRACT Objective To assess the association between prostate volume index (PVI), and prostatic chronic inflammation (PCI) as predictors of prostate cancer (PCA). PVI is the ratio between the central transition zone volume (CTZV) and the peripheral zone volume (PZV). Materials and methods Parameters evaluated included age, prostate specific antigen (PSA)
Int. braz j urol.. Publicado em: 2020-08
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12. MULTILEVEL NONLINEAR MIXED-EFFECTS MODEL AND MACHINE LEARNING FOR PREDICTING THE VOLUME OF Eucalyptus SPP. TREES
ABSTRACT Volumetric equations is one of the main tools for quantifying forest stand production, and is the basis for sustainable management of forest plantations. This study aimed to assess the quality of the volumetric estimation of Eucalyptus spp. trees using a mixed-effects model, artificial neural network (ANN) and support-vector machine (SVM). The datab
CERNE. Publicado em: 2020-03