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Predictive Modeling of Weight Loss and Metabolic Health Outcomes: A Retrospective Predictive Modeling Study [PDF]
Health Science ReportsBackground Obesity is a chronic, complicated, and progressive disease that significantly affects mortality, quality of life, and overall health in nearly 13% of the adult population worldwide.
Rolando Andrade‐Calle +2 more
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Clinical prediction models [PDF]
Child's Nervous System, 2020 _Dear Editor:_ The number of articles presenting a neurosurgical prediction model is rapidly increasing. Although the number of publications reporting a clinical prediction model in _Child’s Nervous System, Journal of Neurosurgery Pediatrics_, and _Pediatric Neurosurgery_ is relatively constant over the years (Fig.
Mijderwijk, Hendrik-Jan +3 more
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Background. There is a worldwide health crisis stemming from the rising incidence of various debilitating chronic diseases, with stroke as a leading contributor.
Katryna Cisek, John D. Kelleher
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Spectral EEG correlations from the different phases of general anesthesia
Frontiers in Medicine, 2023 IntroductionElectroencephalography (EEG) signals contain transient oscillation patterns commonly used to classify brain states in responses to action, sleep, coma or anesthesia.MethodsUsing a time-frequency analysis of the EEG, we search for possible ...
Christophe Sun +3 more
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Journal of Modern Power Systems and Clean Energy, 2021 We aim to provide a tool for independent system operators to detect the collusion and identify the colluding firms by using day-ahead data. In this paper, an approach based on supervised machine learning is presented for collusion detection in ...
Peyman Razmi +2 more
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Nephrology Dialysis Transplantation, 2013 Prognostic research focuses on the prediction of the future course of a given disease in probability terms. Prognostication is performed by clinical decision makers by using risk prediction models that allow us to estimate the probability that a specific event occurs in a given patient over a predefined time period conditional on prognostic factors ...
Tripepi G +5 more
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Which Upstream Solar Wind Conditions Matter Most in Predicting Bz Within Coronal Mass Ejections
Space Weather, 2023 Accurately predicting the z‐component of the interplanetary magnetic field, particularly during the passage of an interplanetary coronal mass ejection (ICME), is a crucial objective for space weather predictions.
Pete Riley, M. A. Reiss, C. Möstl
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Predictive Modeling in Medicine
Encyclopedia, 2023 Predictive modeling is a complex methodology that involves leveraging advanced mathematical and computational techniques to forecast future occurrences or outcomes.
Milan Toma, Ong Chi Wei
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Clinical prediction models [PDF]
British Journal of Surgery, 2016 Clinical prediction models (also known as prognostic models, risk scores) are mathematical equations that relate multiple predictors (risk factors, co-variates) to the probability of having a disease or condition (diagnostic) or the probability that an event will happen in the future (prognostic).
Ranstam, J, Cook, J, Collins, G
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Factors that pre-determine the main subtypes of ischemic stroke in middle-aged and senior women [PDF]
Анналы клинической и экспериментальной неврологии, 2023 Introduction. Brain health and active longevity are affected by a number of stroke risk factors. We should identify their relative impact on the main subtypes of ischemic stroke (IS) in middle-aged and senior women to consider prevention and management ...
Marina Yu. Maximova +1 more
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