Erratum to "Knowledge discovery and knowledge validation in intensive care"

Designing an Ontology for Knowledge Discovery in Iran’s Vaccine

Ontology is a requirement engineering product and the key to knowledge discovery. It includes the terminology to describe a set of facts, assumptions, and relations with which the detailed meanings of vocabularies among communities can be determined. This is a qualitative content analysis research. This study has made use of ontology for the first time to discover the knowledge of vaccine in Ir...

Knowledge discovery and knowledge validation in intensive care

Nurses\' Knowledge and Ability to Diagnose Delirium in Intensive Care Units of Iraq Teaching Hospitals

Background: Delirium as a clinical syndrome, if not diagnosed in time and not well treated, has a negative impact on the outcomes of intensive care patients. Despite its significance and occurrence, delirium continues to be detected at the lowest level. The purpose of this study was to determine whether intensive care unit nurses in Iraq are knowledgeable of delirium and can recognize it. Meth...

Knowledge and attitude of Intensive care units nurses towards Delirium working at Guilan University of Medical Sciences in 2015elirium

Background: Delirium is a common problem in patients hospitalized in Intensive Care Unit. Despite the importance, only less than 13% of cases are diagnosed by physicians and medical personnel. Objectives: The present research aimed to study knowledge and attitude of critical care nurses towards delirium. Methods: This cross-sectional study was conducted in Iran. Convenience sampling was u...

Knowledge discovery from patients’ behavior via clustering-classification algorithms based on weighted eRFM and CLV model: An empirical study in public health care services

The rapid growing of information technology (IT) motivates and makes competitive advantages in health care industry. Nowadays, many hospitals try to build a successful customer relationship management (CRM) to recognize target and potential patients, increase patient loyalty and satisfaction and finally maximize their profitability. Many hospitals have large data warehouses containing customer ...