Predicting Models
Mostrando 1-12 de 279 artigos, teses e dissertações.
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1. Growth phenotypes of very low birth weight infants for prediction of neonatal outcomes from a Brazilian cohort: comparison with INTERGROWTH
Abstract Objective: To assess the predictive value of selected growth phenotypes for neonatal morbidity and mortality in preterm infants < 30 weeks and to compare them with INTERGROWTH-21st (IG21). Methods: Retrospective analysis of data from the Brazilian Neonatal Research Network (BNRN) database for very low birth weight (VLBW) at 20 public tertiary-care
Jornal de Pediatria. Publicado em: 2023
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2. 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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3. C-Reactive Protein to Albumin Ratio as A Novel Inflammatory-Based Marker for 30-Day Mortality in Patients Undergoing Transcatheter Aortic Valve Replacement
Abstract Objective: We aimed to investigate whether C-reactive protein to albumin ratio (CAR) predicts the early and late mortality in patients undergoing transcatheter aortic valve replacement (TAVR). Methods: This study was retrospectively designed and includes 170 TAVR patients with a mean age of 78.4±7.1 years. Patients were divided into 2 groups as t
Brazilian Journal of Cardiovascular Surgery. Publicado em: 2022
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4. Derivation and validation of a national multicenter mortality risk stratification model - the ExCare model: a study protocol
Abstract Introduction Surgical care is essential for proper management of various diseases. However, it can result in unfavorable outcomes. In order to identify patients at higher risk of complications, several risk stratification models have been developed. Ideally, these tools should be simple, reproducible, accurate, and externally validated. Unfortunate
Brazilian Journal of Anesthesiology. Publicado em: 2022
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5. Validation of the Grace Risk Score to Predict In-Hospital and 6-Month Post-Discharge Mortality in Patients with Acute Coronary Syndrome
Abstract Background The wide range of clinical presentations of acute coronary syndrome (ACS) makes it indispensible to use tools for risk stratification and for appropriate risks management; thus, the use of prognosis scores is recommended in the immediat clinical decision-making. Objective To validate the Global Registry of Acute Coronary Events (GRACE
International Journal of Cardiovascular Sciences. Publicado em: 2022
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6. Survival nomogram for patients with bone metastatic renal cell carcinoma: A population-based study
ABSTRACT Purpose: Increased attention has been focused on the survival of renal cell carcinoma (RCC) patients with bone metastasis. This study proposed to establish and evaluate a nomogram for predicting the overall survival (OS) and cancer-specific survival (CSS) of RCC patients with bone metastasis. Materials and Methods: RCC patients with bone metastasi
Int. braz j urol.. Publicado em: 2021-03
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7. Predicting the potential distribution of aquatic herbaceous plants in oligotrophic Central Amazonian wetland ecosystems
ABSTRACT Aquatic herbaceous plants are especially suitable for mapping environmental variability in wetlands, as they respond quickly to environmental gradients and are good indicators of habitat preference. We describe the composition of herbaceous species in two oligotrophic wetland ecosystems, floodplains along black-water rivers (igapó) and wetlands upo
Acta Bot. Bras.. Publicado em: 2021-03
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8. 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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9. Prediction of total phenolics, anthocyanins and antioxidant capacity of blackberry (Rubus sp.), blueberry (Vaccinium sp.) and jaboticaba (Plinia cauliflora (Mart.) Kausel) skin using colorimetric parameters
Abstract The food industry should have methods that allow identifying bioactive compounds quickly, efficiently and at low cost. The objective of this research was to obtain mathematical models for predicting the amount of total phenolics, anthocyanins and antioxidant capacity of blackberry, blueberry and jaboticaba skin, based on colorimetric parameters (L*,
Food Sci. Technol. Publicado em: 2020-12
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10. ESTUDOS DE QSAR PARA SARS-CoV-2
The generation of mathematical models through the quantitative relationship between the chemical structure and the biological activity (QSARs) of compounds was used in this investigation. Mathematical models were generated from compounds available in literature that predicting the biological activity against SARS-CoV-2. The data indicate that the parameters
Quím. Nova. Publicado em: 2020-09
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11. Risk Factors for Mortality in Pediatric Cardiac Intensive Care Unit
The present study investigated the activity of pyrimidine derivatives against Aedes aegypti. Two compounds, 3c and 3d showed excellent larvicide activity. Additionally, quantitative structure-activity relationship (QSAR) models were built using multiple-linear regression and partial least squares with descriptors generated from Dragon and VolSurf+ software,
Int. J. Cardiovasc. Sci.. Publicado em: 2020-07
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12. Pyrimidine Derivatives: QSAR Studies of Larvicidal Activity against Aedes aegypti
The present study investigated the activity of pyrimidine derivatives against Aedes aegypti. Two compounds, 3c and 3d showed excellent larvicide activity. Additionally, quantitative structure-activity relationship (QSAR) models were built using multiple-linear regression and partial least squares with descriptors generated from Dragon and VolSurf+ software,
J. Braz. Chem. Soc.. Publicado em: 2020-07