For healthcare providers, using Reusable Medical Equipment (RME) has a strength in the cost-efficiency since it can be reused and reprocessed to multiple patients. Hence, estimating the maintenance (i.e., repair) cost during RME lifecycle has been a topic in healthcare domain. However, most of the existing research regarding RME has focused on the prediction without considering the domain knowledge of the cost in healthcare. This aim of the research is to propose the method of knowledge extension based on the post-mining (i.e., Association Rule Mining) interpreted by the domain knowledge (i.e., RME ontology and statistical cost domain knowledge) for RME lifecycle management. This contains finding the frequent rule patterns from the tremendo...
Data analytics has opened the door for improving many aspects pertaining to the delivery of healthca...
The purpose of this study was to determine whether the maintenance of medical equipment should be ou...
The current work presents a decision support system architecture for evaluating the features represe...
International audienceBackground: The widespread use of electronic health records (EHRs) has generat...
Biomedical researchers today deal with analyzing clinical and genomic data. However, such analysis s...
Abstract — Data mining is defined as a computational process of pattern detection from large dataset...
The medical history of a patient is an essential piece of information in healthcare agencies, which ...
As an indicator of healthcare quality and performance, hospital readmission incurs major costs for h...
Data mining technologies have been used extensively in the commercial retail sectors to extract data...
Abstract—In Human Life span, disease is a major cause of illness and death in the modern society. Th...
Healthcare system have several and vast databases. Valuable information can be extracted from these ...
The increasing adoption of maintenance information management systems for maintenance decision suppo...
Due to the vast improvement in IT sectors ,the popularity health care organization conserve there da...
Semantic computing technologies have matured to be applicable to many critical domains, such as life...
Maintenance is an important part in any operational system, keeping equipment in good condition. Thi...
Data analytics has opened the door for improving many aspects pertaining to the delivery of healthca...
The purpose of this study was to determine whether the maintenance of medical equipment should be ou...
The current work presents a decision support system architecture for evaluating the features represe...
International audienceBackground: The widespread use of electronic health records (EHRs) has generat...
Biomedical researchers today deal with analyzing clinical and genomic data. However, such analysis s...
Abstract — Data mining is defined as a computational process of pattern detection from large dataset...
The medical history of a patient is an essential piece of information in healthcare agencies, which ...
As an indicator of healthcare quality and performance, hospital readmission incurs major costs for h...
Data mining technologies have been used extensively in the commercial retail sectors to extract data...
Abstract—In Human Life span, disease is a major cause of illness and death in the modern society. Th...
Healthcare system have several and vast databases. Valuable information can be extracted from these ...
The increasing adoption of maintenance information management systems for maintenance decision suppo...
Due to the vast improvement in IT sectors ,the popularity health care organization conserve there da...
Semantic computing technologies have matured to be applicable to many critical domains, such as life...
Maintenance is an important part in any operational system, keeping equipment in good condition. Thi...
Data analytics has opened the door for improving many aspects pertaining to the delivery of healthca...
The purpose of this study was to determine whether the maintenance of medical equipment should be ou...
The current work presents a decision support system architecture for evaluating the features represe...