Jason Mielens

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Developing natural language processing tools for low-resource languages often requires creating resources from scratch. While a variety of semi-supervised methods exist for training from incomplete data, there are open questions regarding what types of training data should be used and how much is necessary. We discuss a series of experiments designed to(More)
OBJECTIVE : To determine the effect of bolus volume on pharyngeal swallowing using high-resolution manometry (HRM). STUDY DESIGN : Repeated measures with subjects serving as own controls. METHODS : Twelve subjects swallowed four bolus volumes in the neutral head position: saliva; 5 mL water; 10 mL water; and 20 mL water. Pressure measurements were taken(More)
PURPOSE The authors present 3 methods of performing pattern recognition on spatiotemporal plots produced by pharyngeal high-resolution manometry (HRM). METHOD Classification models, including the artificial neural networks (ANNs) multilayer perceptron (MLP) and learning vector quantization (LVQ), as well as support vector machines (SVM), were evaluated(More)
We present an algorithm developed in MATLAB that can be applied to both normal and disordered swallowing to automatically extract a wide array of measurements from the spatiotemporal plots produced by high-resolution manometry (HRM) of the pharyngeal swallow. The algorithm was developed from data from 12 normal and 3 disordered subjects swallowing 5-ml(More)
OBJECTIVE To determine if pattern recognition of hue and textural parameters can be used to identify laryngopharyngeal reflux (LPR). METHODS Laryngoscopic images from 20 subjects with LPR and 42 control subjects without LPR were obtained. LPR status was determined using the reflux finding score. Color and texture features were quantified using hue(More)
Effortful swallow and the Mendelsohn maneuver are two common strategies to improve disordered swallowing. We used high-resolution manometry (HRM) to quantify the effects of these maneuvers on pressure and timing characteristics. Fourteen normal subjects swallowed multiple, 5-ml water boluses using three techniques: normal swallow, effortful swallow, and the(More)
OBJECTIVES/HYPOTHESIS To use classification algorithms to classify swallows as safe, penetration, or aspiration based on measurements obtained from pharyngeal high-resolution manometry (HRM) with impedance. STUDY DESIGN Case series evaluating new method of data analysis. METHODS Multilayer perceptron, an artificial neural network (ANN), was evaluated(More)
The tongue-hold maneuver is a widely used clinical technique designed to increase posterior pharyngeal wall movement in individuals with dysphagia. It is hypothesized that the tongue-hold maneuver results in increased contraction of the superior pharyngeal constrictor. However, an electromyographic study of the pharynx and tongue during the tongue-hold is(More)
PCFGs with latent annotations have been shown to be a very effective model for phrase structure parsing. We present a Bayesian model and algorithms based on a Gibbs sampler for parsing with a grammar with latent annotations. For PCFG-LA, we present an additional Gibbs sampler algorithm to learn annotations from training data, which are parse trees with(More)