Practice Management

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

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Showing 568-588 of 10,941 articles
Human Rights Texts: Converting Human Rights Primary Source Documents into Data.

We introduce and make publicly available a large corpus of digitized primary source human rights doc...

Sep 2015 26418817
SORTA: a system for ontology-based re-coding and technical annotation of biomedical phenotype data.

There is an urgent need to standardize the semantics of biomedical data values, such as phenotypes, ...

Sep 2015 26385205
LncRNA-ID: Long non-coding RNA IDentification using balanced random forests.

MOTIVATION: Long non-coding RNAs (lncRNAs), which are non-coding RNAs of length above 200 nucleotide...

Aug 2015 26315901
Automatic ICD-10 classification of cancers from free-text death certificates.

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

Aug 2015 26323193
Using ontologies to improve semantic interoperability in health data.

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

Jul 2015 26245245
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...

Jun 2015 26042675
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 ...

Apr 2015 25910170
PaPI: pseudo amino acid composition to score human protein-coding variants.

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

Apr 2015 25928477
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...

Apr 2015 25888890
Supervised dictionary learning for inferring concurrent brain networks.

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

Apr 2015 25838519
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...

Apr 2015 25841328
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...

Jan 2015 25677919
Attentional Enhancement of Auditory Mismatch Responses: a DCM/MEG Study.

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

Jan 2015 25596591
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...

Nov 2014 25402257
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...

Oct 2014 25338716
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...

Jun 2014 24976104
gTranslate: rapid and accurate translation table prediction for prokaryotic genomes

Background: Bioinformatic tools often require the prediction of protein-coding genes to make inferen...

Prediction of Transcription Factor DNA Binding Affinity with High-Throughput Kd Measurements and Deep Learning

Transcription factors (TFs) regulate gene expression through specific interactions with genomic DNA....

Predictive coding video models capture dorsal parietal representations and human judgments for surfaces defined by motion

Stimulus-computable models have transformed our understanding of ventral visual processing, yet comp...

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