AIMC Topic: Young Adult
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Understanding Learning from EEG Data: Combining Machine Learning and Feature Engineering Based on Hidden Markov Models and Mixed Models.
Neuroinformatics
Sep 10, 2024
Theta oscillations, ranging from 4-8 Hz, play a significant role in spatial learning and memory functions during navigation tasks. Frontal theta oscillations are thought to play an important role in spatial navigation and memory. Electroencephalograp...
Efficacy of compressed sensing and deep learning reconstruction for adult female pelvic MRI at 1.5 T.
European radiology experimental
Sep 10, 2024
BACKGROUND: We aimed to determine the capabilities of compressed sensing (CS) and deep learning reconstruction (DLR) with those of conventional parallel imaging (PI) for improving image quality while reducing examination time on female pelvic 1.5-T m...
Assessing the Performance of Artificial Intelligence Models: Insights from the American Society of Functional Neuroradiology Artificial Intelligence Competition.
AJNR. American journal of neuroradiology
Sep 9, 2024
BACKGROUND AND PURPOSE: Artificial intelligence models in radiology are frequently developed and validated using data sets from a single institution and are rarely tested on independent, external data sets, raising questions about their generalizabil...
Etiological stratification and prognostic assessment of haemophagocytic lymphohistiocytosis by machine learning on onco-mNGS data and clinical data.
Frontiers in immunology
Sep 9, 2024
INTRODUCTION: Hemophagocytic lymphohistiocytosis (HLH) is a rare, complicated and life threatening hyperinflammatory syndrome that maybe triggered by various infectious agents, malignancies and rheumatologic disorders. Early diagnosis and identificat...
A machine learning model for early diagnosis of type 1 Gaucher disease using real-life data.
Journal of clinical epidemiology
Sep 6, 2024
OBJECTIVE: The diagnosis of Gaucher disease (GD) presents a major challenge due to the high variability and low specificity of its clinical characteristics, along with limited physician awareness of the disease's early symptoms. Early and accurate di...
Predicting Basketball Shot Outcome From Visuomotor Control Data Using Explainable Machine Learning.
Journal of sport & exercise psychology
Sep 6, 2024
Quiet eye (QE), the visual fixation on a target before initiation of a critical action, is associated with improved performance. While QE is trainable, it is unclear whether QE can directly predict performance, which has implications for training int...
A Machine Learning Method for Allocating Scarce COVID-19 Monoclonal Antibodies.
JAMA health forum
Sep 6, 2024
IMPORTANCE: During the COVID-19 pandemic, the effective distribution of limited treatments became a crucial policy goal. Yet, limited research exists using electronic health record data and machine learning techniques, such as policy learning trees (...
Adolescent
Antibodies, Viral
Health Policy
Antibodies, Monoclonal
COVID-19 Drug Treatment
Health Care Rationing
Machine Learning
Emergency Use Authorization
Random Forest
COVID-19
United States Food and Drug Administration
Retrospective Studies
Electronic Health Records
Adult
Humans
SARS-CoV-2
Female
Male
Hospitalization
Middle Aged
Aged
Severity of Illness Index
Young Adult
Prediction of childbearing tendency in women on the verge of marriage using machine learning techniques.
Scientific reports
Sep 6, 2024
The declining fertility rate and increasing marriage age among girls pose challenges for policymakers, leading to issues such as population decline, higher social and economic costs, and reduced labor productivity. Using machine learning (ML) techniq...
Using recurrent neural network to estimate irreducible stochasticity in human choice behavior.
eLife
Sep 6, 2024
Theoretical computational models are widely used to describe latent cognitive processes. However, these models do not equally explain data across participants, with some individuals showing a bigger predictive gap than others. In the current study, w...
Using machine learning to predict judgments on Western visual art along content-representational and formal-perceptual attributes.
PloS one
Sep 6, 2024
Art research has long aimed to unravel the complex associations between specific attributes, such as color, complexity, and emotional expressiveness, and art judgments, including beauty, creativity, and liking. However, the fundamental distinction be...
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