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Predictive Modeling in Medicine
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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Predictive modeling of complications [PDF]
Predictive analytic algorithms are designed to identify patterns in the data that allow for accurate predictions without the need for a hypothesis. Therefore, predictive modeling can provide detailed and patient-specific information that can be readily applied when discussing the risks of surgery with a patient.
Justin K Scheer +2 more
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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
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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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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Clinical prediction models [PDF]
_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, HJ +3 more
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Which Upstream Solar Wind Conditions Matter Most in Predicting Bz Within Coronal Mass Ejections
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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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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Factors that pre-determine the main subtypes of ischemic stroke in middle-aged and senior women [PDF]
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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AlphaFold2 and CryoEM: Revisiting CryoEM modeling in near-atomic resolution density maps
Summary: With the advent of new artificial intelligence and machine learning algorithms, predictive modeling can, in some cases, produce structures on par with experimental methods.
Corey F. Hryc, Matthew L. Baker
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