Algorithms
Mostrando 13-24 de 2282 artigos, teses e dissertações.
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13. ECG Signals Classification Using Overlapping Variables to Detect Atrial Fibrillation
ABSTRACT In the present work a method for the detection of the cardiac pathology known as atrial fibrillation is proposed by calculating different information, statistics and other nonlinear measures over ECG signals. The original database contains records corresponding to patients who are diagnosed with this disease as well as healthy subjects. To formulate
Trends in Computational and Applied Mathematics. Publicado em: 2022
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14. Prognostic Factors and Management of Colorectal Gastrointestinal Stromal Tumors
Abstract Introduction The gastrointestinal stromal tumor (GIST) is the most common mesenchymal neoplasm of the gastrointestinal tract. Even though it can be found in any location of the digestive tract, the colorectal GIST is rare. With this study, we aim to review the current knowledge regarding the prognosis and management of colorectal GIST. Methods A
Journal of Coloproctology (Rio de Janeiro). Publicado em: 2022
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15. Decision tree-based classification as a support to diagnosis in the Alzheimer’s disease continuum using cerebrospinal fluid biomarkers: insights from automated analysis
Objective: Cerebrospinal fluid (CSF) biomarkers add accuracy to the diagnostic workup of cognitive impairment by illustrating Alzheimer’s disease (AD) pathology. However, there are no universally accepted cutoff values for the interpretation of AD biomarkers. The aim of this study is to determine the viability of a decision-tree method to analyse CSF bioma
Brazilian Journal of Psychiatry. Publicado em: 2022
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16. 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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17. ICD indication in hypertrophic cardiomyopathy: which algorithm to use?
SUMMARY OBJECTIVE: This study aimed to evaluate the agreement in the indication of implantable cardioverter-defibrillators in patients with Hypertrophic cardiomyopathy, as per the 2014 European Society of Cardiology and 2020 American Heart Association recommendations, and evaluate fragmented QRS as a predictor of cardiovascular outcome. METHODS: Retrospect
Revista da Associação Médica Brasileira. Publicado em: 2022
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18. The metal post material influences the performance of artefact reduction algorithms in CBCT images
Resumo O objetivo nesse estudo foi avaliar o efeito da ferramenta de redução de artefato (FRA) na expressão de artefatos em diferentes regiões de um dente restaurado com diferentes tipos de pinos metálicos. Foram usados alvéolos (regiões anterior e posterior) de uma mandíbula e um dente unirradicular. Imagens de tomografia computadorizada de feixe c�
Brazilian Dental Journal. Publicado em: 2022
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19. Short-term mine scheduling targeting stationary grades
Abstract In short-term mine planning, mining scheduling is generally defined by designing dig-lines, allocated on benches. The mined ore will be sent to stockpiles, homogenization piles, or a concentration plant. The process to design dig-lines is usually done manually, whereby multiple simultaneous mining fronts are time-consuming and labour-intensive. The
REM - International Engineering Journal. Publicado em: 2022
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20. Comparison of the intubation success rate between the intubating catheter and videolaryngoscope in difficult airways: a prospective randomized trial
Abstract Background: Several devices and algorithms have already been examined and compared for difficult airway management. However, there is no existing study comparing the success of the Intubating Catheter (IC) and the Videolaryngoscope (VL) in patients who are difficult to intubate. We aimed to compare Frova IC and McGrath VL in terms of intubation suc
Brazilian Journal of Anesthesiology. Publicado em: 2022
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21. Numerical analysis of collapse modes in optimized design of alveolar Steel-concrete composite beams via genetic algorithms
Abstract The objective of this study is to present the formulation and applications of the optimization problem of steel-concrete composite alveolar beams. In addition to presenting the formulation, a comparative analysis of the predominant collapse modes is performed numerically via the finite element method. The optimization program was developed with the
REM, Int. Eng. J.. Publicado em: 2021-06
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22. Applicability of computer vision in seed identification: deep learning, random forest, and support vector machine classification algorithms
ABSTRACT The use of computer image analysis can assist the extraction of morphological information from seeds, potentially serving as a resource for solving taxonomic problems that require extensive training by specialists whose primary method of examination is visual identification. We propose to test the ability of deep learning, SVM and random forest algo
Acta Bot. Bras.. Publicado em: 2021-03
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23. Limnological layers improve species distribution modeling of aquatic macrophytes at fine-spatial resolution
ABSTRACT Species distribution modeling (SDM) studies of aquatic macrophytes are still attached to methodological paradigms focused on terrestrial plants, such as the use of bioclimatic layers. Our goal was to evaluate the applicability of this paradigm based on a SDM study of Egeria densa, Pontederia crassipes, and Salvinia auriculata in the São Francisco r
Acta Bot. Bras.. Publicado em: 2021-03
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24. 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