AIMC Topic: Programming Languages

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Automatic hemolysis identification on aligned dual-lighting images of cultured blood agar plates.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: The recent introduction of Full Laboratory Automation systems in clinical microbiology opens to the availability of streams of high definition images representing bacteria culturing plates. This creates new opportunities to ...

Owlready: Ontology-oriented programming in Python with automatic classification and high level constructs for biomedical ontologies.

Artificial intelligence in medicine
OBJECTIVE: Ontologies are widely used in the biomedical domain. While many tools exist for the edition, alignment or evaluation of ontologies, few solutions have been proposed for ontology programming interface, i.e. for accessing and modifying an on...

Programming experience promotes higher STEM motivation among first-grade girls.

Journal of experimental child psychology
The gender gap in science, technology, engineering, and math (STEM) engagement is large and persistent. This gap is significantly larger in technological fields such as computer science and engineering than in math and science. Gender gaps begin earl...

A Fast SVM-Based Tongue's Colour Classification Aided by -Means Clustering Identifiers and Colour Attributes as Computer-Assisted Tool for Tongue Diagnosis.

Journal of healthcare engineering
In tongue diagnosis, colour information of tongue body has kept valuable information regarding the state of disease and its correlation with the internal organs. Qualitatively, practitioners may have difficulty in their judgement due to the instable ...

Evolvix BEST Names for semantic reproducibility across code2brain interfaces.

Annals of the New York Academy of Sciences
Names in programming are vital for understanding the meaning of code and big data. We define code2brain (C2B) interfaces as maps in compilers and brains between meaning and naming syntax, which help to understand executable code. While working toward...

SGFSC: speeding the gene functional similarity calculation based on hash tables.

BMC bioinformatics
BACKGROUND: In recent years, many measures of gene functional similarity have been proposed and widely used in all kinds of essential research. These methods are mainly divided into two categories: pairwise approaches and group-wise approaches. Howev...

The BEL information extraction workflow (BELIEF): evaluation in the BioCreative V BEL and IAT track.

Database : the journal of biological databases and curation
Network-based approaches have become extremely important in systems biology to achieve a better understanding of biological mechanisms. For network representation, the Biological Expression Language (BEL) is well designed to collate findings from the...

Executable medical guidelines with Arden Syntax-Applications in dermatology and obstetrics.

Artificial intelligence in medicine
INTRODUCTION: Clinical decision support systems (CDSSs) are being developed to assist physicians in processing extensive data and new knowledge based on recent scientific advances. Structured medical knowledge in the form of clinical alerts or remind...

Evolution of the Arden Syntax: Key Technical Issues from the Standards Development Organization Perspective.

Artificial intelligence in medicine
BACKGROUND: The initial version of the Arden Syntax for Medical Logic Systems was created to facilitate explicit representation of medical logic in a form that could be easily composed and interpreted by clinical experts in order to facilitate clinic...

Transformation of Arden Syntax's medical logic modules into ArdenML for a business rules management system.

Artificial intelligence in medicine
INTRODUCTION: Arden Syntax is a Health Level Seven International (HL7) standard language that is used for representing medical knowledge as logic statements. Arden Syntax Markup Language (ArdenML) is a new representation of Arden Syntax based on XML....