Practice Management

Latest AI and machine learning research in practice management for healthcare professionals.

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Automatic ICD-10 classification of cancers from free-text death certificates.

OBJECTIVE: Death certificates provide an invaluable source for cancer mortality statistics; however,...

Context-dependent coding and gain control in the auditory system of crickets.

Sensory systems process stimuli that greatly vary in intensity and complexity. To maintain efficient...

A novel multivariate performance optimization method based on sparse coding and hyper-predictor learning.

In this paper, we investigate the problem of optimization of multivariate performance measures, and ...

Using ontologies to improve semantic interoperability in health data.

The present-day health data ecosystem comprises a wide array of complex heterogeneous data sources. ...

Identifying the Basal Ganglia network model markers for medication-induced impulsivity in Parkinson's disease patients.

Impulsivity, i.e. irresistibility in the execution of actions, may be prominent in Parkinson's disea...

Automatic supporting system for regionalization of ventricular tachycardia exit site in implantable defibrillators.

Electrograms stored in Implantable Cardioverter Defibrillators (ICD-EGM) have been proven to convey ...

PaPI: pseudo amino acid composition to score human protein-coding variants.

BACKGROUND: High throughput sequencing technologies are able to identify the whole genomic variation...

Non-redundant association rules between diseases and medications: an automated method for knowledge base construction.

BACKGROUND: The widespread use of electronic health records (EHRs) has generated massive clinical da...

Supervised dictionary learning for inferring concurrent brain networks.

Task-based fMRI (tfMRI) has been widely used to explore functional brain networks via predefined sti...

Building bridges across electronic health record systems through inferred phenotypic topics.

OBJECTIVE: Data in electronic health records (EHRs) is being increasingly leveraged for secondary us...

Identifying microRNAs involved in cancer pathway using support vector machines.

Since Ambros' discovery of small non-protein coding RNAs in the early 1990s, the past two decades ha...

Attentional Enhancement of Auditory Mismatch Responses: a DCM/MEG Study.

Despite similar behavioral effects, attention and expectation influence evoked responses differently...

The use of natural language processing of infusion notes to identify outpatient infusions.

PURPOSE: Outpatient infusions are commonly missing in Veterans Health Affairs (VHA) pharmacy dispens...

DANN: a deep learning approach for annotating the pathogenicity of genetic variants.

UNLABELLED: Annotating genetic variants, especially non-coding variants, for the purpose of identify...

Joint sparse coding based spatial pyramid matching for classification of color medical image.

Although color medical images are important in clinical practice, they are usually converted to gray...

Exploring the Architectural Biases of the Cortical Microcircuit.

The cortex plays a crucial role in various perceptual and cognitive functions, driven by its basic u...

Performance of Open-Source Large Language Models to Extract Symptoms from Clinical Notes.

In this study, we examined how well the open-source foundational large language models (LLMs) can ex...

Optimizing the Primary Prevention of Sudden Cardiac Death in Patients With Heart Failure.

Implantable cardioverter-defibrillators (ICDs) protect patients from sudden cardiac death (SCD). Lan...

Machine learning-based prediction of anxiety disorders using blood metabolite and social trait data from the UK Biobank.

Anxiety disorders are the most prevalent type of mental health disorders and are characterised by ex...

Self-Supervised Temperature Representation Learning for Fever Screening.

Utilizing thermal infrared facial imaging for fever screening in public spaces has become a common s...

Automatic implicit motive codings are at least as accurate as humans' and 99% faster.

Implicit motives, nonconscious needs that influence individuals' behaviors and shape their emotions,...

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