AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Expert Systems

Showing 131 to 140 of 226 articles

Clear Filters

Using Arden Syntax for the creation of a multi-patient surveillance dashboard.

Artificial intelligence in medicine
OBJECTIVE: Most practically deployed Arden-Syntax-based clinical decision support (CDS) modules process data from individual patients. The specification of Arden Syntax, however, would in principle also support multi-patient CDS. The patient data man...

Identifying influenza-like illness presentation from unstructured general practice clinical narrative using a text classifier rule-based expert system versus a clinical expert.

BMC medical informatics and decision making
BACKGROUND: We designed and validated a rule-based expert system to identify influenza like illness (ILI) from routinely recorded general practice clinical narrative to aid a larger retrospective research study into the impact of the 2009 influenza p...

Pediatric decision support using adapted Arden Syntax.

Artificial intelligence in medicine
BACKGROUND: Pediatric guidelines based care is often overlooked because of the constraints of a typical office visit and the sheer number of guidelines that may exist for a patient's visit. In response to this problem, in 2004 we developed a pediatri...

Framing a Knowledge Base for a Legal Expert System Dealing with Indeterminate Concepts.

TheScientificWorldJournal
Despite decades of development of formal tools for modelling legal knowledge and reasoning, the creation of a fully fledged legal decision support system remains challenging. Among those challenges, such system requires an enormous amount of commonse...

Accessing complex patient data from Arden Syntax Medical Logic Modules.

Artificial intelligence in medicine
OBJECTIVE: Arden Syntax is a standard for representing and sharing medical knowledge in form of independent modules and looks back on a history of 25 years. Its traditional field of application is the monitoring of clinical events such as generating ...

An Automated and Intelligent Medical Decision Support System for Brain MRI Scans Classification.

PloS one
A wide interest has been observed in the medical health care applications that interpret neuroimaging scans by machine learning systems. This research proposes an intelligent, automatic, accurate, and robust classification technique to classify the h...

A Type-2 Fuzzy Image Processing Expert System for Diagnosing Brain Tumors.

Journal of medical systems
The focus of this paper is diagnosing and differentiating Astrocytomas in MRI scans by developing an interval Type-2 fuzzy automated tumor detection system. This system consists of three modules: working memory, knowledge base, and inference engine. ...

A methodological evaluation and predictive in silico investigation into the multi-functionality of arginine in directly compressed tablets.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
The acceleration of solid dosage form product development can be facilitated by the inclusion of excipients that exhibit poly-/multi-functionality with reduction of the time invested in multiple excipient optimisations. Because active pharmaceutical ...

A Decision Support System Coupling Fuzzy Logic and Probabilistic Graphical Approaches for the Agri-Food Industry: Prediction of Grape Berry Maturity.

PloS one
Agri-food is one of the most important sectors of the industry and a major contributor to the global warming potential in Europe. Sustainability issues pose a huge challenge for this sector. In this context, a big issue is to be able to predict the m...