Results 1 to 10 of about 16,211 (118)

Predictive Modeling in Medicine

open access: yesEncyclopedia, 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
doaj   +3 more sources

Predictive modeling of complications [PDF]

open access: yesCurrent Reviews in Musculoskeletal Medicine, 2016
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
exaly   +5 more sources

Current Topics in Technology-Enabled Stroke Rehabilitation and Reintegration: A Scoping Review and Content Analysis

open access: yesIEEE 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
doaj   +1 more source

Spectral EEG correlations from the different phases of general anesthesia

open access: yesFrontiers 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
doaj   +1 more source

A Machine Learning Approach for Collusion Detection in Electricity Markets Based on Nash Equilibrium Theory

open access: yesJournal 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
doaj   +1 more source

Clinical prediction models [PDF]

open access: yesChild'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, HJ   +3 more
openaire   +2 more sources

Which Upstream Solar Wind Conditions Matter Most in Predicting Bz Within Coronal Mass Ejections

open access: yesSpace 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
doaj   +1 more source

Risk prediction models [PDF]

open access: yesNephrology 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
openaire   +4 more sources

Factors that pre-determine the main subtypes of ischemic stroke in middle-aged and senior women [PDF]

open access: yesАнналы 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
doaj   +1 more source

AlphaFold2 and CryoEM: Revisiting CryoEM modeling in near-atomic resolution density maps

open access: yesiScience, 2022
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
doaj   +1 more source

Home - About - Disclaimer - Privacy