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	IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy
	Ying Shen; Deng Yang; Jin Zhang; Yaliang Li; Nan Du; Wei Fan; Min Yang
	2018
会议日期	2018
会议地点	新加坡
英文摘要	Decision Support Systems (DSS) has become in- creasingly important due to its broad applications in various domains. Significant progresses have been made on ensuring more precise decision-making by leveraging appropriate data and knowledge from knowledge bases. However, the current DSSs related to antibiotics consider only therapy rather than diagnosis, and they were developed from a physician’s perspective. Based on these two points, this study presents IDDAT, an ontology-driven decision support system for aiding Infectious Disease Diagnosis and Antibiotic Therapy. Based on patient-entered information, this freely accessible system aims to identify infectious disease, and provide an antibiotic therapy specifically adapted to the patient. We show the effectiveness of IDDAT by applying it to a diagnosis classification task. Experimental results reveal the system’s advantages in term of the area under the curve (AUC) of receiver operating characteristic (ROC) (89.91%).
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/14106]
专题	深圳先进技术研究院_数字所
推荐引用方式 GB/T 7714	Ying Shen,Deng Yang,Jin Zhang,et al. IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy[C]. 见:. 新加坡. 2018.

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