Results 11 to 20 of about 2,742,182 (249)
GDP Forecasting: Machine Learning, Linear or Autoregression?
Frontiers in Artificial Intelligence, 2021 This paper compares the predictive power of different models to forecast the real U.S. GDP. Using quarterly data from 1976 to 2020, we find that the machine learning K-Nearest Neighbour (KNN) model captures the self-predictive ability of the U.S. GDP and
Giovanni Maccarrone +3 more
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Improving risk prediction model quality in the critically ill: data linkage study
Health and Social Care Delivery Research, 2022 Background: A previous National Institute for Health and Care Research study [Harrison DA, Ferrando-Vivas P, Shahin J, Rowan KM. Ensuring comparisons of health-care providers are fair: development and validation of risk prediction models for critically ...
Paloma Ferrando-Vivas +17 more
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Some Statistical Properties of Models of Transitory Earnings
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2021 The fact that most of the financial ratios are mean-reverting, is well known. Due to the importance of earnings forecast accuracy, relevant scientific literature in this area concentrates on transitory earnings.
Miroslava Vlčková, Tomáš Buus
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Statistical models of renewable energy intermittency [PDF]
E3S Web of Conferences, 2020 One of the big mitigating factors of intermittency is the smoothing effect of geographical distribution of variable renewable energy (VRE ) plants on the aggregate power output of VRE generation on a utility network.
Rakhmonov I U, Reymov K M
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Minimize the sum of the error boxes in the multi-linear regression model using the genetic algorithm [PDF]
مجلة التربية والعلم, 2018 Regression models are regarded as the most important ones used in statistical models in defining the relation among variables through the available data which can be applied to various sciences .
Hamsa Mohammed
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Aircraft Damage Classification by using Machine Learning Methods
International Journal of Aviation, Aeronautics, and Aerospace, 2023 Safety is the most significant factor that affected incidents (non-fatal) and accidents (fatal) in civil aviation history related to scheduled flights. In the history of scheduled flights, the total incident and accident number until 2022 is 1988.
Tüzün Tolga İnan
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Health Technology Assessment, 2020 Background: Cost-effectiveness analysis using quality-adjusted life-years as the measure of health benefit is commonly used to aid decision-makers. Clinical studies often do not include preference-based measures that allow the calculation of quality ...
Mónica Hernández Alava +4 more
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Fisher’s significance test: A gentle introduction
GMS Medizinische Informatik, Biometrie und Epidemiologie, 2020 The p-value is often misunderstood and, for example, misinterpreted as a probability for the correctness of the null hypothesis. The aim of this article is to first explain the definition of the p-value.
Stang, Andreas, Kowall, Bernd
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Development and Validation of a Clinically Actionable Prediction Model for Postoperative Pulmonary Complications in Cardiac Surgery: A Focus on Modifiable Risk Factors [PDF]
Annals of Rehabilitation MedicineObjective To develop and validate a clinically actionable prediction model for postoperative pulmonary complications (PPCs) in cardiac surgery patients, focusing on modifiable preoperative risk factors amenable to targeted optimization.
Ruoxi Li +8 more
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Biomédica: revista del Instituto Nacional de Salud, 2011 Introducción. Los nódulos tiroideos son la condición endocrina más frecuente para los cirujanos. El principio de la evaluación de un nódulo tiroideo es determinar si éste corresponde a un carcinoma.
Edgar Alfonso +2 more
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