Results 101 to 110 of about 66,382 (184)

Prediction-Constrained Topic Models for Antidepressant Recommendation [PDF]

open access: yesarXiv, 2017
Supervisory signals can help topic models discover low-dimensional data representations that are more interpretable for clinical tasks. We propose a framework for training supervised latent Dirichlet allocation that balances two goals: faithful generative explanations of high-dimensional data and accurate prediction of associated class labels. Existing
arxiv  

Anatomically-Informed Data Augmentation for functional MRI with Applications to Deep Learning [PDF]

open access: yesarXiv, 2019
The application of deep learning to build accurate predictive models from functional neuroimaging data is often hindered by limited dataset sizes. Though data augmentation can help mitigate such training obstacles, most data augmentation methods have been developed for natural images as in computer vision tasks such as CIFAR, not for medical images ...
arxiv  

Graph-Based Methods for Discovery Browsing with Semantic Predications [PDF]

open access: yes, 2011
We present an extension to literature-based discovery that goes beyond making discoveries to a principled way of navigating through selected aspects of some biomedical domain.
Arabandi, Sivaram   +6 more
core   +1 more source

Antidepressants in epilepsy [PDF]

open access: yes, 2019
People with epilepsy (PWE) frequently suffer from comorbid mood and anxiety disorders. Depression is one of the major psychiatric comorbidities having a negative impact on the quality of life in people with epilepsy.
Cubała, Wiesław Jerzy   +4 more
core   +1 more source

Antidepressants for people with epilepsy and depression [PDF]

open access: yes, 2014
Adams   +32 more
core   +1 more source

Antidepressants in Inflammatory Bowel Disease: : A systematic review [PDF]

open access: yes, 2017
Macer, Benjamin   +2 more
core   +2 more sources

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