DAY 1: MONDAY, 2 July
9.00 – Opening
9.25 - DATA MINING
Prototype
Selection and Feature Subset Selection by Estimation of Distribution Algorithms. A case study in the
survival of cirrhotic patients treated
with TIPS
Detection of
Infectious Outbreaks in Hospitals through Incremental Clustering
Minig Data from
a Knowledge Management Perspective: an Application to Outcome Prediction in
Patients with Resectable Hepatocellular Carcinoma
10.40 – Coffee Break
11.10 - MACHINE
LEARNING
Credal
Classification for Dementia Screening
Evaluation of
Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine
Learning Tools
Making Reliable
Diagnoses with Machine Learning: A Case Study
12.25 – Lunch
14.30 – MACHINE LEARNING and DECISION SUPPORT SYSTEMS
A
Classification-Tree Hybrid Method for Studying Prognostic Models in Intensive
Care
Integrating
Different Methodologies for Insulin Therapy Support in Type 1 Diabetic Patients
15.20 – POSTER SESSION (ML and DSS)
Discovering
Association in Clinical Data: Application to Search for Prognostic Factors in
Hodgkin's Disease
Visualisation
of Multidimensional Data for Medical Decision Support}
A Clustering-Based
Constructive Induction Method and its Application to Rheumatoid Arthritis
Improving
Identification of Difficult Small Classes by Balancing Class Distribution
Diagnosing
Patient State in Intensive Care Patients Using the Intelligent Ventilator
(INVENT) System
A User
Interface for Executing Asbru Plans
Improving
HISYS1 with a Decision-Support System
Diagnosis of
Iron-Deficiency Anemia in Hemodyalyzed Patients Through Support Vector Machines
Technique
A Visual Tool
for a User-Friendly Artificial Neural Network Based Decision Support System in
Medicine
Modeling of
Ventricular Repolarisation Time Series by Multi-Layer Perceptrons
16.10 – Coffee Break
16.40 - BAYESIAN NETWORKS
Expert Knowledge and its Role in Learning Bayesian
Networks in Medicine: an Appraisal
Improving the Diagnostic Performance of MUNIN by
remodelling of the diseases
Extended Bayesian Regression Models: a Symbiotic
Application of Belief Networks and Multilayer Perceptrons for the Classification
of Ovarian Tumors
The Effects of Disregarding Test Characteristics in
Probabilistic Networks
18.20 - End of day 1
DAY 2: TUESDAY, 3 July
9.00 – KEYNOTE LECTURE
Mediated Agent
Interaction
10.00 - TEMPORAL REASONING
NasoNet, joining
Bayesian Networks and Time to Model Nasopharingeal Cancer Spread}
Using
Time-Oriented Data Abstraction Methods to Optimize Oxygen Supply for Neonates}
10.50 - Coffee Break
11.20 - NATURAL LANGUAGE PROCESSING
Generating
Symbolic and Natural Language Partial Solutions for Inclusion in Medical Plans
Using
Part-Of-Speech and Word-Sense Disambiguation for Boosting String-Edit Distance
Spelling Correction
Semantic
Interpretation of Medical Language - Quantitative Analysis and Qualitative
Yield
12.35 - Lunch
14.30 - KNOWLEDGE REPRESENTATION AND REASONING 1
Quantitative and
Qualitative Approaches to Reasoning Under Uncertainty in Medical Decision
Making
Comparison of Rule-based
and Bayesian Network Approaches in Medical Diagnostic Systems
15.20 – POSTER SESSION (ML, BN, TR and NLP)
Combining
Unsupervised and Supervised Machine Learning in Analysis of the CHD Patient
Database}
Coronary Heart
Disease Patient Models Based on Inductive Machine Learning
Prediction of
Protein Secondary Structures of All Types Using New Hypersphere Machine
Learning Method
Knowledge
Acquisition and Automated Generation of Bayesian Networks for a Medical
Dialogue and Advisory System}
Educational tool
for Diabetic Patients Based on Causal Probabilistic Networks
TEMPORAL
REASONING
Visual Definition
of Temporal Clinical Abstractions: A User Interface based on Novel Metaphors
Using Temporal
Probabilistic Knowledge for Medical Decision Making
Temporal Issues
in the Intelligent Interpretation of the Sleep Apnea Syndrome
Medical Knowledge
Acquisition from the Electronic Encyclopedia of China
16.10 - Coffee
16.40 - KNOWLEDGE REPRESENTATION AND REASONING 2
Parts, Locations
and Holes - Formal Reasoning about Anatomical Structures
Abductive
Inference of Genetic Networks
Interface of
Inference Models with Concept and Medical Record Models
17.55 - End of day 2
DAY 3: WEDNESDAY, 4 July
9.00 – KEYNOTE LECTURE
On
Articulation and Localisation - Some Sociotechnical Issues of Design,
Implementation and Evaluation of Knowledge Based Systems
10.00 - COMPUTER IMAGING
Systematic
Construction of Texture Features for Hashimoto's Lymphocytis Thyroiditis Recognition
from Sonographic Images
Dynamic
Adaptation of Cooperative Agents for MRI Brain Scans Segmentation
10.50 - Coffee Break
11.20 - COMPUTER IMAGING and CO-OPERATIVE SYSTEMS
Numeric and
Symbolic Knowledge Representation of Cortex Anatomy Using Web Technologies
Management of
Hospital Teams for Organ Transplants using Multi-Agent Systems
An AI-based
Approach to Support Communication in Health Care Organizations
12.35 - Lunch
14.15 - CO-OPERATIVE SYSTEMS and EVALUATION OF DECISION
SUPPORT SYSTEMS
TAME - Time
Resourcing in Academic Medical Environments
Using ONCODOC
as a computer-based eligibility screening system to improve accrual onto breast
cancer clinical trials
15.05 – POSTER SESSION
Integrating
Ripple Down Rules with Ontologies in an Oncology Domain
Towards a
Simple Ontology Definition Language (SOntoDL) for a Semantic Web of
Evidence-based Medical Information
Knowledge
Acquisition System to Support Low Vision Consultation
Depth-Four
Threshold Circuits for Computer-Assisted X-ray Diagnosis
A Conceptual
Framework to Model Chronic and Long-term Diseases
Modelling of
Radiological Examinations with POKMAT, a Process Oriented Knowledge Management
Tool
A Multi-Agent
System for Organ Transplant Co-ordination
A Platform
Integrating Knowledge and Data Management
for EMG Studies
Challenges in
Evaluating Complex Decision Support Systems: Lessons from Design-a-Trial
On the
Evaluation of Probabilistic Networks
Evaluation of
a Case-based Antibiotics Therapy Adviser
15.55- Coffee
16.25 - EVALUATION OF DECISION SUPPORT SYSTEMS
Using Critiquing
for Improving Medical Protocols: Harder than it Seems
Evaluating the
Impact of Clinical Practice Guidelines on Stroke Outcomes
17.15 – PANNEL DISCUSSION and CLOSE
18.15 – End of day 3 and Conference