In this paper we describe an application of data mining methods for different prediction tasks in an intensive care unit. Some of the challenging aspects of performing data mining in this domain are highlighted. The applied methods result in models with good performances within medical standards that can be valuable in assisting medical decision making.status: publishe
Intensive Care Unit (ICU) is a special department of any hospital for the critical patients. Prematu...
Predictive data mining in clinical medicine deals with learning models to predict patients' health. ...
Predictive data mining in clinical medicine deals with learning models to predict patients' health. ...
The widespread implementation of computerized medical files in intensive care units (ICUs) over rece...
In this paper we describe the application of data mining methods for predicting the evolution of pat...
The use of Data Mining techniques makes possible to extract knowledge from high volumes of data. Cu...
Recently, in many medical disciplines and especially in departments such as intensive care, electron...
Abstract: The introduction of an Intelligent Decision Support System (IDSS) in a critical area like ...
The length of stay (LOS) is an important metric to manage hospital units since a correct prevision o...
Abstract: Decision making is one of the most critical activities in Intensive Care Units (ICU). More...
science researchers and intensive care doctors. Previous work contributed with Data Mining models to...
The introduction of Intelligent Decision Support Systems (IDSS) in critical areas like Intensive Med...
Background: Early outcome prediction of hospitalized patients is critical because the intensivists a...
© 2017 World Scientific Publishing Company. Predicting mortality rate for the patients in Intensive ...
Ubiquitous Data Mining and Intelligent Decision Support Systems are gaining interest by both compute...
Intensive Care Unit (ICU) is a special department of any hospital for the critical patients. Prematu...
Predictive data mining in clinical medicine deals with learning models to predict patients' health. ...
Predictive data mining in clinical medicine deals with learning models to predict patients' health. ...
The widespread implementation of computerized medical files in intensive care units (ICUs) over rece...
In this paper we describe the application of data mining methods for predicting the evolution of pat...
The use of Data Mining techniques makes possible to extract knowledge from high volumes of data. Cu...
Recently, in many medical disciplines and especially in departments such as intensive care, electron...
Abstract: The introduction of an Intelligent Decision Support System (IDSS) in a critical area like ...
The length of stay (LOS) is an important metric to manage hospital units since a correct prevision o...
Abstract: Decision making is one of the most critical activities in Intensive Care Units (ICU). More...
science researchers and intensive care doctors. Previous work contributed with Data Mining models to...
The introduction of Intelligent Decision Support Systems (IDSS) in critical areas like Intensive Med...
Background: Early outcome prediction of hospitalized patients is critical because the intensivists a...
© 2017 World Scientific Publishing Company. Predicting mortality rate for the patients in Intensive ...
Ubiquitous Data Mining and Intelligent Decision Support Systems are gaining interest by both compute...
Intensive Care Unit (ICU) is a special department of any hospital for the critical patients. Prematu...
Predictive data mining in clinical medicine deals with learning models to predict patients' health. ...
Predictive data mining in clinical medicine deals with learning models to predict patients' health. ...