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WORKSHOP 

Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP 99)

Saturday, November 6, 1999: 5:00 p.m. - 10:30 p.m. 

A Workshop at the AMIA 1999 Annual Symposium - November 6-10, 1999 - Washington, DC 
Yuval Shahar  (contact); Sarabjot Anand; Steen Andreassen; Lars Asker; Riccardo Bellazzi; Werner Horn; Elpida Keravnou; Cristiana Larizza; Nada Lavrac; Xiaohui Liu; Silvia Miksch; Christian Popow; Blaz Zupan 
 
Submission: July 26, 1999  Notification: September 24, 1999 (sorry delayed) Camera-ready: October 11, 1999 
 
 
This is the fourth workshop on Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP). The former IDAMAP Workshops were held in Budapest in 1996,  in Nagoya in 1997, and in Brighton in 1998.

General information

IDAMAP-99 is a Workshop at the AMIA 1999 Annual Symposium - November 6-10, 1999 - Washington, DC prior to the start of the main AMIA conference.

Gathering in an informal setting, workshop participants will have the opportunity to meet and discuss selected technical topics in an atmosphere, which fosters the active exchange of ideas among researchers and practitioners. To encourage interaction and a broad exchange of ideas, the workshop will be kept small, preferably under 30 active participants, although registered AMIA 99 Fall Symposium members are welcome to attend. The workshop is intended to be a genuinely interactive event and not a mini-conference, thus ample time will be allotted for general discussion. The workshop will last a half-day.


Topics

In all human activities, automatic data collection pushes towards the development of tools able to handle and analyze data in a computer-supported fashion. In the majority of the application areas, this task cannot be accomplished without using the available knowledge on the domain or on the data analysis process. This need becomes essential in biomedical applications, since medical decision-making needs to be supported by arguments based on basic medical and pharmacological knowledge.

The topics of the workshop are computational methods for data analysis able to exploit the available knowledge to narrow the gap between data gathering and data comprehension, as well as their applications in medicine and pharmacology. Expert physicians should be included in the preparation of data for IDA process (e.g., data representation, modeling, cleaning, selection, and transformation), as well as in the interpretation and exploitation of results and their (potential) impact on medical practice.
 

Topics include, but are not limited to:

Emphasis will also be given to solving of problems, which result from automated data collection in modern hospitals, such as analysis of computer-based patient records (CPR), data warehousing tools, intelligent alarming, effective and efficient monitoring, etc.

In particular, we will ask the participants to address the following points:
        - what kind of knowledge they have used and/or extracted;
        - why they need to exploit the available prior knowledge in their problem;
        - how they have represented the available knowledge;
        - how they plan to use / have used the derived knowledge.


Submission of Papers

The workshop invites submission of long and short papers written in English to the workshop chair, Yuval Shahar (email: shahar@smi.stanford.edu), preferably in electronic format (pdf or postscript) no later than July 26, 1999. The length of long papers is of about 5000 words (10 pages) and length of short papers is about 1500 words (3 pages).

Authors will be notified of acceptance by September 6, 1999.
Papers will appear as separate workshop notes.

SUBMISSION ADDRESS:


Scientific Program

The scientific program of the workshop will consist of presentations of accepted papers and panel discussions. Papers are invited both on methodological issues of intelligent data analysis as well as on specific applications in medicine and pharmacology. Panel discussions will be organized into two phases: the first one will be devoted to identify clusters of basic approaches presented to intelligently analyze data, the second one will deal on discussions initialized by participants.

Program Committee


List of Accepted Papers

 
[1] An Architecture for the Recognition and Classification of Multiple Sclerosis Lessons in MR Images.
E. Ardizzone, R. Pirrone
[2] Intra-patients Learning by Combining Clustering and Temporal Abstraction.
R. Bellazi, C. Larizza, S. Montani, M. Stefanelli
[3] Specification and Detection of Periodic Patterns in Clinical Data
S. Chakravarty, Y. Shahar
[4] Feature Mining and Predictive Model Construction from Severe Trauma Patient's Data
J. Demsar, B. Zupan, N. Aoki, M.J. Wall, T.H. Granchi, J.R. Beck
[5] High Confidence Association Rules for Medical Diagnosis
D. Gamberger, N. Lavrac, V. Jovanoski
[6] An HTTP Based Server for Temporal Abstractions
C. Larizza, R. Bellazzi, G. Lanzola
[7] Visualization of the MEDLINE Database for Prostate Cancer
X.C. Lei, P. Whitney, D. McQuerry, B. Hetzler, L.J. Korb
[8] An Architecture for Automated Development of Clinical Practice Guidelines in Critical Care: Preliminary Report
J. Li, T.Y. Leong
[9] Modelling Multivariate Time Series
X. Liu, S. Swift, A. Tucker, G. Cheng, G. Loizou
[10] Extracting Patterns of Lymphocyte Fluorescence from Digital Microscope Images
T.W. Nattkemper, H. Ritter, W. Schubert
[11] Questionnaire Screening of Sleep Apnea Cases Using Fuzzy Knowledge Representation and Intelligent Aggregation Techniques
D. Nettleton, L. Hernandez
[12] Using Mixtures of Experts on the GlucoWatch (R) Biographer
J.J. Oliver, R.T. Kurnik
[13] Decision-Making in Fuzzy Pieces of Evidence
A. Schuster, K. Adamson, D.A. Bell
[14] Generating Summaries from Retrieved Base Cases
A. Schuster, K. Adamson, D.A. Bell
[15] Investigating Electrocardiographic Features in Fuzzy Models for Cardiac Arrhythmia Classification
R. Silipo
[16] Multiple Alarm Management with Self-Organizing Maps
S. Tamminen, S. Pirttikangas, S. Nissilä, V. Pentikäinen, K. Väinämö, J. Röning
 

Workshop Schedule (provisional) and Organization Details

Each regular paper is allocated 20 mins, of which 15 mins are allocated for presentation and 5 mins for discussion, while each poster will be introduced by the author (up to 2 slides, up to 2 mins).

The room will be provided with

 
5:00 PM Introduction to IDAMAP: Past history, current state, and future goals (Blaz Zupan)
5:20 PM - 7:00 PM Temporal Reasoning 
5:20 - 5:40 R. Bellazi, C. Larizza, S. Montani, M. Stefanelli 
Intra-patients Learning by Combining Clustering and Temporal Abstraction. 
5:40 - 6:00 C. Larizza, R. Bellazzi, G. Lanzola 
An HTTP Based Server for Temporal Abstractions 
6:00 - 6:20 S. Chakravarty, Y. Shahar 
Specification and Detection of Periodic Patterns in Clinical Data 
6:20 - 6:40 X. Liu, S. Swift, A. Tucker, G. Cheng, G. Loizo 
Modelling Multivariate Time Series 
6:40 - 7:00 R. Silipo 
Investigating Electrocardiographic Features in Fuzzy Models for Cardiac Arrhythmia Classification 
 
7:00 PM - 7:40 PM Poster Session and Break 
An introduction of up to 2-minutes to each poster will precede the poster session 
 
7:40 PM - 9 PM Machine Learning and Data Mining I 
7:40 - 8:00 J. Demsar, B. Zupan, N. Aoki, M.J. Wall, T.H. Granchi, J.R. Beck 
Feature Mining and Predictive Model Construction from Severe Trauma Patient's Data 
8:00 - 8:20 E. Ardizzone, R. Pirrone 
An Architecture for the Recognition and Classification of Multiple Sclerosis Lessons in MR Images. 
8:20 - 8:40 T.W. Nattkemper, H. Ritter, W. Schubert 
Extracting Patterns of Lymphocyte Fluorescence from Digital Microscope Images 
8:40 - 9:00 D. Nettleton, L. Hernandez 
Questionnaire Screening of Sleep Apnea Cases Using Fuzzy Knowledge Representation and Intelligent Aggregation Techniques 
 
9:00 - 9:10  Break
9:10 PM - 10:30 PM 
 
Machine Learning and Data Mining II 
9:10 - 9:30  J.J. Oliver, R.T. Kurnik 
Using Mixtures of Experts on the GlucoWatch (R) Biographer 
9:30- 9:50 A. Schuster, K. Adamson, D.A. Bell 
Generating Summaries from Retrieved Base Cases 
9:50- 10:10 S. Tamminen, S. Pirttikangas, S. Nissilä, V. Pentikäinen, K. Väinämö, J. Röning 
Multiple Alarm Management with Self-Organizing Maps 
10:10-10:30 D. Gamberger, N. Lavrac, V. Jovanoski 
High Confidence Association Rules for Medical Diagnosis 
 
 

Publication of Papers

Accepted papers will be published in the IDAMAP-99 working notes.

Workshop Registration

No extra registration. All registered AMIA 99 Fall Symposium members are welcome to attend.

Last update Nov, 3 1999 by Silvia Miksch, silvia@ifs.tuwien.ac.at
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