Information visualisation in clinical Odontology: multidimensional analysis and interactive data exploration

被引:37
作者
Falkman, G [1 ]
机构
[1] Univ Skovde, Dept Comp Sci, SE-54128 Skovde, Sweden
关键词
3D information visualisation; multidimensional data analysis; parallel co-ordinates; interactive data exploration; similarity measures; hierarchical clustering;
D O I
10.1016/S0933-3657(00)00104-4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In 1995, the MedView project, based on a co-operation between computing science and clinical medicine was initiated. The overall goal of the project was to develop models, methods and tools to support clinicians in their daily diagnostic work. As part of MedView, two information visualisation tools were developed and tested as solutions to the problem of visualising clinical experience derived from large amounts of clinical data. The first tool (The Cube) was based on the idea of dynamic three-dimensional (3D) parallel diagrams, an idea similar to the notion of 3D parallel coordinates. The Cube was developed to enhance the clinician's ability to intelligibly analyse existing patient material and to allow for pattern recognition and statistical analysis. The second tool (SimVis) was based on a similarity assessment-based interaction model for exploring data, and was designed to help clinicians to classify and cluster clinical examination data. User interaction was supported by 3D visualisation of clusters and similarity measures. Both tools were tested on a knowledge base containing about 1500 examinations obtained from different clinics. Clinical practice indicated that the basic ideas are conceptually appealing to the involved clinicians as the tools can be used fur generating and testing of hypotheses. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:133 / 158
页数:26
相关论文
共 49 条
[1]   Similarity clustering of dimensions for an enhanced visualization of multidimensional data [J].
Ankerst, M ;
Berchtold, S ;
Keim, DA .
IEEE SYMPOSIUM ON INFORMATION VISUALIZATION - PROCEEDINGS, 1998, :52-+
[2]  
[Anonymous], 1991, P SIGCHI C HUMAN FAC, DOI DOI 10.1145/108844.108870
[3]  
[Anonymous], 1992, Bulletin of the Institute for Combinatorics and its Applications
[4]   THE GRAND TOUR - A TOOL FOR VIEWING MULTIDIMENSIONAL DATA [J].
ASIMOV, D .
SIAM JOURNAL ON SCIENTIFIC AND STATISTICAL COMPUTING, 1985, 6 (01) :128-143
[5]  
AVESANI P, 1997, LECT NOTES ARTIF INT, V1321, P405
[6]  
Barnett V, 1981, INTERPRETING MULTIVA
[7]  
CARRIERE J, 1995, P 1995 IEEE C INF VI, V4, P74
[8]  
CHOMUT T, 1987, EXPLORATORY DATA ANA
[9]   Structure discovery in medical databases: A conceptual clustering approach [J].
daVeiga, FA .
ARTIFICIAL INTELLIGENCE IN MEDICINE, 1996, 8 (05) :473-491
[10]  
EISENBERG M, 1996, P SIGCHI C HUM FACT, P181