Soft Methods for Automatic Drug Infusion in Medical Care Environment

2015 ◽  
pp. 1384-1408
Author(s):  
Filipe Quinaz ◽  
Paulo Fazendeiro ◽  
Miguel Castelo-Branco ◽  
Pedro Araújo

The automatic drug infusion in medical care environment remains an elusive goal due to the inherent specificities of the biological systems under control and to subtle shortcomings of the current models. The central aim of this chapter is to present an overview of soft computing techniques and systems that can be used to ameliorate those problems. The applications of control systems in modern medicine are discussed along with several enabling methodologies. The advantages and limitations of automatic drug infusion systems are analyzed. In order to comprehend the evolution of these systems and identify recent advances and research trends, a survey on the hypertension control problem is provided. For illustration, a state-of-the-art automatic drug infusion controller of Sodium Nitroprusside for the mean arterial pressure is described in detail. The chapter ends with final remarks on future research directions towards a fully automated drug infusion system.

Author(s):  
Filipe Quinaz ◽  
Paulo Fazendeiro ◽  
Miguel Castelo-Branco ◽  
Pedro Araújo

The automatic drug infusion in medical care environment remains an elusive goal due to the inherent specificities of the biological systems under control and to subtle shortcomings of the current models. The central aim of this chapter is to present an overview of soft computing techniques and systems that can be used to ameliorate those problems. The applications of control systems in modern medicine are discussed along with several enabling methodologies. The advantages and limitations of automatic drug infusion systems are analyzed. In order to comprehend the evolution of these systems and identify recent advances and research trends, a survey on the hypertension control problem is provided. For illustration, a state-of-the-art automatic drug infusion controller of Sodium Nitroprusside for the mean arterial pressure is described in detail. The chapter ends with final remarks on future research directions towards a fully automated drug infusion system.


2007 ◽  
Vol 64 (2) ◽  
pp. 286 ◽  
Author(s):  
Stephen Knox ◽  
Richard P. Atkinson ◽  
Roger Stephens ◽  
Robert J. Coffey ◽  
Edie E. Zusman

2017 ◽  
Vol 20 (2) ◽  
pp. 96-132 ◽  
Author(s):  
Timothy R. Deer ◽  
Jason E. Pope ◽  
Salim M. Hayek ◽  
Anjum Bux ◽  
Eric Buchser ◽  
...  

ISRN Genomics ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Neelam Goel ◽  
Shailendra Singh ◽  
Trilok Chand Aseri

In the past decade, various genomes have been sequenced in both plants and animals. The falling cost of genome sequencing manifests a great impact on the research community with respect to annotation of genomes. Genome annotation helps in understanding the biological functions of the sequences of these genomes. Gene prediction is one of the most important aspects of genome annotation and it is an open research problem in bioinformatics. A large number of techniques for gene prediction have been developed over the past few years. In this paper a theoretical review of soft computing techniques for gene prediction is presented. The problem of gene prediction, along with the issues involved in it, is first described. A brief description of soft computing techniques, before discussing their application to gene prediction, is then provided. In addition, a list of different soft computing techniques for gene prediction is compiled. Finally some limitations of the current research and future research directions are presented.


2017 ◽  
Vol 124 (5) ◽  
pp. 1493-1505 ◽  
Author(s):  
Uoo R. Kim ◽  
Robert A. Peterfreund ◽  
Mark A. Lovich

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Jun’ichiro Murai ◽  
Yasuhiro Daiku

AbstractVery little research has focused on the subject of lying in everyday life, despite the benefits such study would provide. In this paper, we reanalyze the data from Murai’s work in 2000, which examined the telling of lies and the perception of being lied to in daily life by using a diary method in which participants recorded events in a diary for a certain period of time as directed by the researcher. Our reanalysis led us to three key findings. First, we found one prolific liar in the data. This is relevant because previous deception studies have only discussed the existence of “a few prolific liars” in Asia through one-shot surveys, whereas we confirm it through the reanalysis of the data collected by the diary method. Second, we did not find any significant rank correlation between the number of lies told and the number of perceptions of lies, nor was there evidence of any “prolific lie perceivers”. Third, we found that the mean percentage of the subjective accuracy of recording was roughly 80%, which demonstrates the accuracy of the diary method. In this paper, we report our findings, discuss the limitations (in particular, the small sample size), and mention future research directions using the diary method in deception studies.


2021 ◽  
Author(s):  
Goran Pavlov ◽  
Dexin Shi ◽  
ALBERTO MAYDEU-OLIVARES

The forced-choice method has been proposed as a viable strategy to prevent socially desirable responding (SDR) on self-report non-cognitive measures. The ability of the method to eliminate SDR may largely depend on how closely items comprising forced-choice item-blocks are matched in terms of perceived desirability. The gold standard in quantifying similarity between items in terms of desirability has been the mean difference index, that is, the absolute difference between items’ mean desirability ratings. The mean difference index relies on the assumption that items have one “true” desirability value, as represented by their means, and may fail if this assumption does not hold. Instead, we propose indexing within-rater agreement with several robust agreement indices to appropriately quantify similarity between items in terms of desirability (i.e., inter-item agreement). On a set of empirically derived desirability ratings, we show that relying on the mean difference index may lead to suboptimal forced-choice item assembly. Implications of our findings and future research directions are discussed. R code for computing the proposed indices on a set of desirability ratings is provided.


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