AIMC Topic: Practice Guidelines as Topic

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Using preference learning for detecting inconsistencies in clinical practice guidelines: Methods and application to antibiotherapy.

Artificial intelligence in medicine
Clinical practice guidelines provide evidence-based recommendations. However, many problems are reported, such as contradictions and inconsistencies. For example, guidelines recommend sulfamethoxazole/trimethoprim in child sinusitis, but they also st...

Future Direction for Using Artificial Intelligence to Predict and Manage Hypertension.

Current hypertension reports
PURPOSE OF REVIEW: Evidence that artificial intelligence (AI) is useful for predicting risk factors for hypertension and its management is emerging. However, we are far from harnessing the innovative AI tools to predict these risk factors for hyperte...

Representing and querying now-relative relational medical data.

Artificial intelligence in medicine
Temporal information plays a crucial role in medicine. Patients' clinical records are intrinsically temporal. Thus, in Medical Informatics there is an increasing need to store, support and query temporal data (particularly in relational databases), i...

Provider-specific quality measurement for ERCP using natural language processing.

Gastrointestinal endoscopy
BACKGROUND AND AIMS: Natural language processing (NLP) is an information retrieval technique that has been shown to accurately identify quality measures for colonoscopy. There are no systematic methods by which to track adherence to quality measures ...

Analyzing interactions on combining multiple clinical guidelines.

Artificial intelligence in medicine
Accounting for patients with multiple health conditions is a complex task that requires analysing potential interactions among recommendations meant to address each condition. Although some approaches have been proposed to address this issue, importa...

Automatic Generation of Conditional Diagnostic Guidelines.

AMIA ... Annual Symposium proceedings. AMIA Symposium
The diagnostic workup for many diseases can be extraordinarily nuanced, and as such reference material text often contains extensive information regarding when it is appropriate to have a patient undergo a given procedure. In this work we employ a th...

Temporal detection and analysis of guideline interactions.

Artificial intelligence in medicine
BACKGROUND: Clinical practice guidelines (CPGs) are assuming a major role in the medical area, to grant the quality of medical assistance, supporting physicians with evidence-based information of interventions in the treatment of single pathologies. ...

Robotic i.v. medication compounding: Recommendations from the international community of APOTECAchemo users.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
PURPOSE: The development of recommendations for advancing automated i.v. medication compounding is described.

COMPOSE: Using temporal patterns for interpreting wearable sensor data with computer interpretable guidelines.

Computers in biology and medicine
This paper describes a novel temporal logic-based framework for reasoning with continuous data collected from wearable sensors. The work is motivated by the Metabolic Syndrome, a cluster of conditions which are linked to obesity and unhealthy lifesty...