Implementation of a computerized patient advice system using the HELP clinical information system
Computers and Biomedical Research
A framework for knowledge-based temporal abstraction
Artificial Intelligence
Rule-base derivation for intensive care ventilator control using ANFIS
Artificial Intelligence in Medicine
The design and implementation of a ventilator-management advisor
Artificial Intelligence in Medicine
Computer Methods and Programs in Biomedicine
A modular framework for clinical decision support systems: medical device plug-and-play is critical
ACM SIGBED Review - Special Issue on the 2nd Joint Workshop on High Confidence Medical Devices, Software, and Systems (HCMDSS) and Medical Device Plug-and-Play (MD PnP) Interoperability
Computer Methods and Programs in Biomedicine
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Objective: An overview of different methodologies used in various intelligent decision support systems (IDSSs) for mechanical ventilation is provided. The applications of the techniques are compared in view of today's intensive care unit (ICU) requirements. Methods: Information available in the literature is utilized to provide a methodological review of different systems. Results: Comparisons are made of different systems developed for specific ventilation modes as well as those intended for use in wider applications. The inputs and the optimized parameters of different systems are discussed and rule-based systems are compared to model-based techniques. The knowledge-based systems used for closed-loop control of weaning from mechanical ventilation are also described. Finally, in view of increasing trend towards automation of mechanical ventilation, the potential utility of intelligent advisory systems for this purpose is discussed. Conclusions: IDSSs for mechanical ventilation can be quite helpful to clinicians in today's ICU settings. To be useful, such systems should be designed to be effective, safe, and easy to use at patient's bedside. In particular, these systems must be capable of noise removal, artifact detection and effective validation of data. Systems that can also be adapted for closed-loop control/weaning of patients at the discretion of the clinician, may have a higher potential for use in the future.