Open AccessBook Chapter10.1007/978-3-642-25364-5_11

Interactive visualization for information analysis in medical diagnosis

- 25 Nov 2011

- pp 109-120

TL;DR: This paper investigates to what extend the findings and solutions of information analysis in intelligence analysis can be applied and transferred into the medical diagnosis domains.

Abstract: This paper investigates to what extend the findings and solutions of information analysis in intelligence analysis can be applied and transferred into the medical diagnosis domains. Interactive visualization is proposed to address some of the problems faced by both domain. Its design issues related to selected common problems are then discussed in details. Finally, a visual sense making system INVISQUE is used as an example to illustrate how the interactive visualization can be used to support information analysis and medical diagnosis.

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Most frequently asked questions

1. What are the contributions mentioned in the paper "Interactive visualization for information analysis in medical diagnosis" ?

This paper investigates to what extend the findings and solutions of information analysis in intelligence analysis can be applied and transferred into the medical diagnosis domains.

2. What is the frequently cited model of intelligence analysis?

The more frequently cited Pirolli and Card model [15] of intelligence analysis while useful in helping us see the different cycles (i.e., foraging, hypothesis formulation and testing), can be complemented by Klein et al.’s Data-Frame model [11] which describes the process of creating plausible explanations for observed data.

3. What is the common way to collect evidence?

Evidence will be collated from different sources such as news items, hospital and doctors reports, laboratory results, and so forth.

4. What is the purpose of the article?

To gain a sense of what the hall is like, the analyst must piece together his or her different views from memory, which can lead to many problems associated with memory and cognitive limitations, attention, and bias.

Fig. 3. The Data-Frame Model of Sense-making [11]

Fig. 4. INVISQUE showing library database search results.

Fig. 1. Illustration of the problems faced by an information analyst

Fig. 2. Sense-making loop for intelligence analysis [15]

Citations

•Journal Article•10.1186/1471-2105-15-S6-I1

Knowledge Discovery and interactive Data Mining in Bioinformatics - State-of-the-Art, future challenges and research directions

Andreas Holzinger, +4 more

- 16 May 2014

- BMC Bioinformatics

TL;DR: Computers are incredibly fast, accurate, and stupid; human beings are incredibly slow, inaccurate, and brilliant.

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236

Journal Article•10.1145/2932707

Computational Health Informatics in the Big Data Age: A Survey

Ruogu Fang, +4 more

- 14 Jun 2016

- ACM Computing Surveys

TL;DR: A comprehensive overview of the existing challenges, techniques, and future directions for computational health informatics in the big data age, with a structured analysis of the historical and state-of-the-art methods.

...read moreread less

229

•Book•10.1007/978-3-642-40511-2

Availability, Reliability, and Security in Information Systems and HCI

Alfredo Cuzzocrea, +4 more

- 01 Jan 2013

TL;DR: This paper focuses on the conceptual benefits and risks such an integration of sensor data into social media in the case of a patient room and introduces a way to deal with these problems.

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Book Chapter•10.1007/978-3-662-43968-5_2

Visual Data Mining: Effective Exploration of the Biological Universe

David Otasek, +4 more

- 01 Jan 2014

TL;DR: The experience with biology researchers has required us to address their needs and requirements in the design and development of a scalable and interactive network visualization and analysis platform, NAViGaTOR, now in its third major release.

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Book Chapter•10.1007/978-3-319-09891-3_46

Extravaganza Tutorial on Hot Ideas for Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Andreas Holzinger, +1 more

- 11 Aug 2014

TL;DR: This tutorial gives an overview of the HCI-KDD approach and focuses on 3 topics: graphs, topology and entropy.

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References

•Journal Article•10.1038/35075138

Lethality and centrality in protein networks

Hawoong Jeong, +3 more

- 03 May 2001

- Nature

TL;DR: It is demonstrated that the phenotypic consequence of a single gene deletion in the yeast Saccharomyces cerevisiae is affected to a large extent by the topological position of its protein product in the complex hierarchical web of molecular interactions.

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5.8K

•Book

Data Mining and Knowledge Discovery Handbook

Oded Maimon, +1 more

- 01 Jan 2005

TL;DR: This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently.

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•Proceedings Article

Patterns of Cascading Behavior in Large Blog Graphs.

Jure Leskovec, +4 more

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TL;DR: Some surprising findings of the blog linking and information propagation structure are reported, after one of the largest available datasets, with 45, 000 blogs and ≈ 2.2 million blog-postings is analyzed.

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Journal Article•10.1109/MIS.2006.100

Making Sense of Sensemaking 2: A Macrocognitive Model

Gary Klein, +2 more

- 01 Sep 2006

- IEEE Intelligent Systems

TL;DR: This paper lays out a theory of sensemaking that might be useful for intelligent systems applications and examines five areas of empirical findings: causal reasoning, commitment to hypotheses, feedback and learning, sense-making as a skill, and confirmation bias.

...read moreread less

635

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Abductive Inference : Computation, Philosophy, Technology

John R. Josephson, +1 more

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TL;DR: This work focuses on the development of knowledge-based systems and the science of AI in the area of abduction, with a focus on two RED systems.

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609

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Interactive visualization for information analysis in medical diagnosis

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Most frequently asked questions

1. What are the contributions mentioned in the paper "Interactive visualization for information analysis in medical diagnosis" ?

2. What is the frequently cited model of intelligence analysis?

3. What is the common way to collect evidence?

4. What is the purpose of the article?

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Citations

Knowledge Discovery and interactive Data Mining in Bioinformatics - State-of-the-Art, future challenges and research directions

Computational Health Informatics in the Big Data Age: A Survey

Availability, Reliability, and Security in Information Systems and HCI

Visual Data Mining: Effective Exploration of the Biological Universe

Extravaganza Tutorial on Hot Ideas for Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

References

Lethality and centrality in protein networks

Data Mining and Knowledge Discovery Handbook

Patterns of Cascading Behavior in Large Blog Graphs.

Making Sense of Sensemaking 2: A Macrocognitive Model

Abductive Inference : Computation, Philosophy, Technology

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