Synergistic case-based reasoning in medical domains

被引:29
作者
Marling, Cindy [1 ]
Montani, Stefania [2 ]
Bichindaritz, Isabelle [3 ]
Funk, Peter [4 ]
机构
[1] Ohio Univ, Sch Elect Engn & Comp Sci, Athens, OH 45701 USA
[2] Univ Piemonte Orientate, Inst Comp Sci, DISIT, I-15121 Alessandria, Italy
[3] SUNY Coll Oswego, Dept Comp Sci, Oswego, NY 13126 USA
[4] Malardalen Univ, Sch Innovat Design & Engn, SE-72123 Vasteras, Sweden
基金
美国国家科学基金会;
关键词
Case-based reasoning; Clinical decision support systems; Medical informatics; DECISION-SUPPORT-SYSTEM; CASE-BASED RETRIEVAL; HEALTH-SCIENCES; FRAMEWORK;
D O I
10.1016/j.eswa.2013.05.063
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents four synergistic systems that exemplify the approaches and benefits of case-based reasoning in medical domains. It then explores how these systems couple Artificial Intelligence (AI) research with medical research and practice, integrate multiple AI and computing methodologies, leverage small numbers of available cases, reason with time series data, and integrate numeric data with contextual and subjective information. The following systems are presented: (1) CARE-PARTNER, which supports the long-term follow-up care of stem-cell transplantation patients; (2) the 4 Diabetes Support System, which aids in managing patients with type 1 diabetes on insulin pump therapy; (3) Retrieval of HEmodialysis in NEphrological Disorders, which supports hemodialysis treatment of patients with end stage renal disease; and (4) the Malardalen Stress System, which aids in the diagnosis and treatment of stress-related disorders. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:249 / 259
页数:11
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