8.473 hasil untuk machine learning
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Artikel Jurnal Teks lengkap
Ten quick tips for biomarker discovery and validation analyses using machine learning
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Artikel Jurnal Teks lengkap
An analysis of machine learning risk factors and risk parity portfolio optimization
Many academics and experts focus on portfolio optimization and risk budgeting as a topic of study. Streamlining a portfolio using machine learning methods and elements is examined, as well as a strategy for portfolio expansion that relies on the decay of a portfolio’s risk into risk factor…
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Artikel Jurnal Teks lengkap
Machine learning for cell type classification from single nucleus RNA sequencing data
…approaches to overcome these obstacles, we explored the use of supervised machine learning methods—logistic regression, support vector machines, random forests, neural networks, and light gradient boosting machine (LightGBM)–as approaches to classify cell types using snRNA-seq datasets from human…
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Artikel Jurnal Teks lengkap
SPARE-Tau: A flortaucipir machine-learning derived early predictor of cognitive decline
…and predict disease progression. We, therefore, sought to develop a machine learning-derived index, SPARE-Tau, which successfully detects pathology in the earliest disease stages and accurately predicts progression compared to a priori-based region of interest approaches (ROI). Methods: 587…
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Artikel Jurnal Teks lengkap
Early detection of norovirus outbreak using machine learning methods in South Korea
…outbreaks. Methods: We predicted weekly norovirus warnings using six machine learning algorithms using test data from 2017 to 2018 and training data from 2009 to 2016. In addition, we proposed a novel method for the early detection of norovirus using a calculated norovirus risk index. Further…
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Artikel Jurnal Teks lengkap
Improving stock trading decisions based on pattern recognition using machine learning technology
PRML, a novel candlestick pattern recognition model using machine learning methods, is proposed to improve stock trading decisions. Four popular machine learning methods and 11 different features types are applied to all possible combinations of daily patterns to start the pattern recognition…
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Artikel Jurnal Teks lengkap
Incorporating metadata in HIV transmission network reconstruction: A machine learning feasibility assessment
…who have no access to consistent care out of the tracking process. We use machine learning algorithms to learn the non-linear correlation patterns between patient metadata and transmissions between HIV-positive cases. This enables us to expand the transmission network reconstruction beyond the…
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Artikel Jurnal Teks lengkap
Use of machine learning to identify risk factors for coronary artery disease
…study was to identify risk factors for coronary artery disease through machine-learning and assess this methodology. A retrospective, cross-sectional cohort study using the publicly available National Health and Nutrition Examination Survey (NHANES) was conducted in patients who completed the…
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Precision engineering of biological function with large-scale measurements and machine learning
…for precision engineering of genetic sensors: in silico selection and machine-learning-enabled forward engineering. Both methods use a large-scale genotype-phenotype dataset to identify DNA sequences that encode sensors with quantitatively specified dose response. First, we show that in silico…
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Artikel Jurnal Teks lengkap
Machine learning for buildings’ characterization and power-law recovery of urban metrics
In this paper we focus on a critical component of the city: its building stock, which holds much of its socio-economic activities. In our case, the lack of a comprehensive database about their features and its limitation to a surveyed subset lead us to adopt data-driven techniques to extend our…
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Artikel Jurnal Teks lengkap
Predicting breast cancer 5-year survival using machine learning: A systematic review
Background: Accurately predicting the survival rate of breast cancer patients is a major issue for cancer researchers. Machine learning (ML) has attracted much attention with the hope that it could provide accurate results, but its modeling methods and prediction performance remain controversial…
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Artikel Jurnal Teks lengkap
Body shape matters: Evidence from machine learning on body shape-income relationship
The association between physical appearance and income has been of central interest in social science. However, most previous studies often measured physical appearance using classical proxies from subjective opinions based on surveys. In this study, we use novel data, called CAESAR, which contains…
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Artikel Jurnal Teks lengkap
Machine learning prediction of dropping out of outpatients with alcohol use disorders
…discontinue treatment becomes necessary. Accordingly, we developed a machine learning (ML) algorithm to predict which the risk of patients dropping out of outpatient treatment schemes. Methods: A total of 839 patients were selected out of 2,206 patients admitted for AUD in three hospitals under the…
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PEDF, a pleiotropic WTC-LI biomarker: Machine learning biomarker identification and validation
…to phenotype WTC-disease. To address this concern, we used automated, machine-learning, high-dimensional data pruning, and validated identified biomarkers. The parent cohort consisted of male, never-smoking firefighters with WTC-LI (FEV1, %Pred< lower limit of normal (LLN); n = 100) and controls (n…
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Artikel Jurnal Teks lengkap
SPOT: A machine learning model that predicts specific substrates for transport proteins
…challenging, as they become unstable when isolated from cell membranes. Machine learning-based predictions could provide an efficient alternative. However, existing methods are limited to predicting a small number of specific substrates or broad transporter classes. These limitations stem partly…
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Artikel Jurnal Teks lengkap
Machine learning algorithms to predict treatment success for patients with pulmonary tuberculosis
…as molecular testing and sputum culture. In artificial intelligence (AI), machine learning (ML) is an advanced study of statistical algorithms that can learn from historical data and generalize the results to unseen data. There are not many studies done on the ML algorithm that enables the…
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Artikel Jurnal Teks lengkap
Machine-learning and mechanistic modeling of metastatic breast cancer after neoadjuvant treatment
…inter-animal variabilities in metastatic dynamics and survival, and machine-learning algorithms were applied to investigate the significance of several biomarkers at resection as predictors of individual kinetics. Biomarkers included circulating tumor- and immune-based cells (circulating tumor…
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Artikel Jurnal Teks lengkap
Diagnostic classification based on DNA methylation profiles using sequential machine learning approaches
Aberrant methylation patterns in human DNA have great potential for the discovery of novel diagnostic and disease progression biomarkers. In this paper we used machine learning algorithms to identify promising methylation sites for diagnosing cancerous tissue and to classify patients based on…
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Artikel Jurnal Teks lengkap
Predicting the infecting dengue serotype from antibody titre data using machine learning
…collected from a prospective cohort of Thai children. We applied four machine learning classifiers and multinomial logistic regression to the titre data to predict the infecting serotype. The models were validated against the true infecting serotype, identified using RT-PCR. Model performance was…
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Artikel Jurnal Teks lengkap
Machine learning-based urban noise appropriateness evaluation method and driving factor analysis
…distribution data are of great interest. This study introduces various machine learning methods and applies the Random Forest algorithm, which performed best, to investigate noise suitability in the central urban area of Nanchang City. The findings are as follows: 1.Machine learning algorithms can…
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