AIMC Topic: Adolescent

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Difficulties in thickened water ingestion in healthy subjects.

Clinical nutrition ESPEN
BACKGROUND: For some patients with dysphagia who have airway aspiration, it is not possible to drink water as a thin liquid, as they need their water to be thickened.

Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach.

IEEE transactions on pattern analysis and machine intelligence
Face attribute estimation has many potential applications in video surveillance, face retrieval, and social media. While a number of methods have been proposed for face attribute estimation, most of them did not explicitly consider the attribute corr...

A nonparametric Bayesian method of translating machine learning scores to probabilities in clinical decision support.

BMC bioinformatics
BACKGROUND: Probabilistic assessments of clinical care are essential for quality care. Yet, machine learning, which supports this care process has been limited to categorical results. To maximize its usefulness, it is important to find novel approach...

Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker.

NeuroImage
Machine learning analysis of neuroimaging data can accurately predict chronological age in healthy people. Deviations from healthy brain ageing have been associated with cognitive impairment and disease. Here we sought to further establish the creden...

Prediction of outcome in internet-delivered cognitive behaviour therapy for paediatric obsessive-compulsive disorder: A machine learning approach.

International journal of methods in psychiatric research
BACKGROUND: There are no consistent predictors of treatment outcome in paediatric obsessive-compulsive disorder (OCD). One reason for this might be the use of suboptimal statistical methodology. Machine learning is an approach to efficiently analyse ...

Human interaction with robotic systems: performance and workload evaluations.

Ergonomics
We first tested the effect of differing tactile informational forms (i.e. directional cues vs. static cues vs. dynamic cues) on objective performance and perceived workload in a collaborative human-robot task. A second experiment evaluated the influe...

Identifying seizure onset zone from electrocorticographic recordings: A machine learning approach based on phase locking value.

Seizure
PURPOSE: Using a novel technique based on phase locking value (PLV), we investigated the potential for features extracted from electrocorticographic (ECoG) recordings to serve as biomarkers to identify the seizure onset zone (SOZ).

Applying deep neural networks to unstructured text notes in electronic medical records for phenotyping youth depression.

Evidence-based mental health
BACKGROUND: We report a study of machine learning applied to the phenotyping of psychiatric diagnosis for research recruitment in youth depression, conducted with 861 labelled electronic medical records (EMRs) documents. A model was built that could ...

Ontology-Based Approach to Social Data Sentiment Analysis: Detection of Adolescent Depression Signals.

Journal of medical Internet research
BACKGROUND: Social networking services (SNSs) contain abundant information about the feelings, thoughts, interests, and patterns of behavior of adolescents that can be obtained by analyzing SNS postings. An ontology that expresses the shared concepts...

Antiphospholipid Antibodies and Heart Valve Disease in Systemic Lupus Erythematosus.

The American journal of the medical sciences
Evaluation of antiphospholipid antibodies (aPL) and correlation with heart valve abnormalities among patients with systemic lupus erythematosus (SLE). Nested case-control study was conducted with 70 patients with SLE selected from a longitudinal data...