Predicting adequacy of vancomycin regimens: A learning-based classification approach to improving clinical decision making

Clinicians' drug regimen decision making is critical, particularly when involving high-alert medications. In this study, we use decision-tree induction C4.5 and a backpropagation neural network to construct decision support systems for predicting the regimen adequacy of vancomycin, a glycopeptide antimicrobial antibiotic effective for Gram-positive bacterial infections. We comparatively evaluate the respective systems using a total of 987 clinical vancomycin cases collected from a major tertiary medical center in southern Taiwan. We supplement each system using Bagging and then examine the predictive power of the extended system. Overall, our evaluation results show the overall accuracy of the decision support system based on C4.5 or the neural network to be significantly higher than that of the benchmark one-compartment pharmacokinetic model. Use of Bagging can considerably improve the effectiveness of each system across different performance measures, particularly for cases of decision classes in which the base systems (i.e., without Bagging) perform modestly. Taken together, our evaluation results seem to favor the use of Bagging to enhance the performance of decision support systems constructed using decision-tree induction C4.5.     

百色水利枢纽水情自动测报系统设计

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BSSW水情遥测系统设计概述

概述BSSW水情遥测系统组成及工作原理、RTU特点、系统主要功能、系统主要技术参数和系统独特的特点,以及运行效果.     

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CT增强扫描时对比剂给药方案影响对比剂用量以及增强图像强化效果。为了使同类型CT增强检查获得一致性好的高质量图像,本文分析了影响CT增强图像质量的因素,建立了CT增强给药方案专家知识库,基于SSH框架、采用JAVA开发了CT对比剂智能应用专家系统,该系统能与医院已有的HIS系统及RIS对接接收患者信息、就医信息、设备信息等参数,系统的推理机自动匹配输入信息及专家知识,为操作者提供最佳CT增强检查方案。     

安阳河水情自动化遥测预报系统

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