A pairwise strategy for imputing predictive features when combining multiple datasets
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac839
Abstract: Abstract Motivation In the training of predictive models using high-dimensional genomic data, multiple studies’ worth of data are often combined to increase sample size and improve generalizability. A drawback of this approach is that there… read more here.
Keywords: information; predictive features; pairwise strategy; strategy ... See more keywords
Predictive Features for Anterior Mediastinal Mass Diagnoses
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Computer Assisted Tomography"
DOI: 10.1097/rct.0000000000000782
Abstract: Objective We set out to evaluate a set of demographic and computed tomography imaging features for diagnosing anterior mediastinal masses. Methods We identified 223 patients with anterior mediastinal masses, which we divided into training and… read more here.
Keywords: anterior mediastinal; mediastinal mass; predictive features; imaging features ... See more keywords
Modeling workflows: Identifying the most predictive features in healthcare operational processes
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DOI: 10.1371/journal.pone.0233810
Abstract: Limited resources and increased patient flow highlight the importance of optimizing healthcare operational systems to improve patient care. Accurate prediction of exam volumes, workflow surges and, most notably, patient delay and wait times are known… read more here.
Keywords: modeling workflows; workflows identifying; identifying predictive; predictive features ... See more keywords
Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Psychiatry"
DOI: 10.3389/fpsyt.2018.00768
Abstract: Background: Individuals with major depressive disorder (MDD) vary in their response to antidepressants. However, identifying objective biomarkers, prior to or early in the course of treatment that can predict antidepressant efficacy, remains a challenge. Methods:… read more here.
Keywords: week; machine learning; response; treatment ... See more keywords