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10. AIME 2005: Aberdeen, UK
- Silvia Miksch, Jim Hunter, Elpida T. Keravnou:
Artificial Intelligence in Medicine, 10th Conference on Artificial Intelligence in Medicine, AIME 2005, Aberdeen, UK, July 23-27, 2005, Proceedings. Lecture Notes in Computer Science 3581, Springer 2005, ISBN 3-540-27831-1
Invited Talks
- Frank van Harmelen
:
Ontology Mapping: A Way Out of the Medical Tower of Babel? 3-6 - Paul Lukowicz:
Human Computer Interaction in Context Aware Wearable Systems. 7-10
Temporal Representation and Reasoning
- Samir Sharshar, Laurent Allart, Marie-Christine Chambrin:
A New Approach to the Abstraction of Monitoring Data in Intensive Care. 13-22 - Lucia Sacchi, Riccardo Bellazzi
Learning Rules with Complex Temporal Patterns in Biomedical Domains. 23-32 - Silvana Badaloni, Marco Falda:
Discriminating Exanthematic Diseases from Temporal Patterns of Patient Symptoms. 33-42 - Michael Ramati, Yuval Shahar:
Probabilistic Abstraction of Multiple Longitudinal Electronic Medical Records. 43-47 - Stefan Visscher, Peter J. F. Lucas, Karin Schurink, Marc Bonten:
Using a Bayesian-Network Model for the Analysis of Clinical Time-Series Data. 48-52 - Barry Nannings, Ameen Abu-Hanna
Data-Driven Analysis of Blood Glucose Management Effectiveness. 53-57 - Paolo Terenziani
Extending Temporal Databases to Deal with Telic/Atelic Medical Data. 58-66 - Marion Verduijn, Niels Peek, Frans Voorbraak, Evert de Jonge, Bas A. de Mol:
Dichotomization of ICU Length of Stay Based on Model Calibration. 67-76
Decision Support Systems
- Petr Berka, Vladimír Las, Marie Tomecková:
AtherEx: An Expert System for Atherosclerosis Risk Assessment. 79-88 - Silvana Quaglini, Silvia Panzarasa, Anna Cavallini, Giuseppe Micieli, Corrado Pernice, Mario Stefanelli:
Smooth Integration of Decision Support into an Existing Electronic Patient Record. 89-93 - Douglas D. Dankel II, María Ósk Kristmundsdóttir:
REPS: A Rehabilitation Expert System for Post-stroke Patients. 94-98
Clinical Guidelines and Protocols
- Christian Fuchsberger
Testing Asbru Guidelines and Protocols for Neonatal Intensive Care. 101-110 - Liliane Pellegrin
EORCA: A Collaborative Activities Representation for Building Guidelines from Field Observations. 111-120 - Radu Serban, Annette ten Teije, Mar Marcos
Design Patterns for Modelling Guidelines. 121-125 - Monika Moser, Silvia Miksch:
Improving Clinical Guideline Implementation Through Prototypical Design Patterns. 126-130 - Brigitte Séroussi, Jacques Bouaud, Jean-Jacques Vieillot:
Automatic Derivation of a Decision Tree to Represent Guideline-Based Therapeutic Strategies for the Management of Chronic Diseases. 131-135 - Stefania Montani
Exploiting Decision Theory for Supporting Therapy Selection in Computerized Clinical Guidelines. 136-140 - Diego Sona
Helping Physicians to Organize Guidelines Within Conceptual Hierarchies. 141-145 - Andreas Seyfang, Silvia Miksch, Cristina Polo-Conde, Jolanda Wittenberg, Mar Marcos
MHB - A Many-Headed Bridge Between Informal and Formal Guideline Representations. 146-150 - Paolo Terenziani
Clinical Guidelines Adaptation: Managing Authoring and Versioning Issues. 151-155 - Mor Peleg, Rory Steele, Richard Thomson, Vivek Patkar, Tony Rose, John Fox:
Open-Source Publishing of Medical Knowledge for Creation of Computer-Interpretable Guidelines. 156-160 - Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel, Theo P. van der Weide:
A History-Based Algebra for Quality-Checking Medical Guidelines. 161-165 - Ohad Young, Yuval Shahar:
The Spock System: Developing a Runtime Application Engine for Hybrid-Asbru Guidelines. 166-170 - Kirsty Bradbrook, Graham Winstanley, David Glasspool, John Fox, Richard N. Griffiths:
AI Planning Technology as a Component of Computerised Clinical Practice Guidelines. 171-180 - Katharina Kaiser, Cem Akkaya, Silvia Miksch:
Gaining Process Information from Clinical Practice Guidelines Using Information Extraction. 181-190 - Radu Serban, Annette ten Teije, Frank van Harmelen
Ontology-Driven Extraction of Linguistic Patterns for Modelling Clinical Guidelines. 191-200 - Marjolein van Gendt, Annette ten Teije, Radu Serban, Frank van Harmelen
Formalising Medical Quality Indicators to Improve Guidelines. 201-210
Ontology and Terminology
- Anand Kumar, Barry Smith:
Oncology Ontology in the NCI Thesaurus. 213-220 - Srinandan Dasmahapatra
Ontology-Mediated Distributed Decision Support for Breast Cancer. 221-225 - Julie Bourbeillon
Multimedia Data Management to Assist Tissue Microarrays Design. 226-230 - Audrey Baneyx, Jean Charlet, Marie-Christine Jaulent
Building Medical Ontologies Based on Terminology Extraction from Texts: Methodological Propositions. 231-235 - Vincent Claveau, Pierre Zweigenbaum:
Translating Biomedical Terms by Inferring Transducers. 236-240 - Michel C. A. Klein
Using Lexical and Logical Methods for the Alignment of Medical Terminologies. 241-245 - Patrick Ruch, Robert H. Baud, Johan Marty, Antoine Geissbühler, Imad Tbahriti, Anne-Lise Veuthey:
Latent Argumentative Pruning for Compact MEDLINE Indexing. 246-250 - Aurélie Névéol, Vincent Mary, Arnaud Gaudinat
A Benchmark Evaluation of the French MeSH Indexers. 251-255 - Alexandros G. Valarakos, Vangelis Karkaletsis, Dimitra Alexopoulou, Elsa Papadimitriou, Constantine D. Spyropoulos:
Populating an Allergens Ontology Using Natural Language Processing and Machine Learning Techniques. 256-265 - Heinrich Herre, Barbara Heller:
Ontology of Time and Situoids in Medical Conceptual Modeling. 266-275 - Leonas Ustinovichius, Robert Balcevich, Dmitry Kochin, Ieva Sliesoraityte:
The Use of Verbal Classification for Determining the Course of Medical Treatment by Medicinal Herbs. 276-285
Case-Based Reasoning, Signal Interpretation, Visual Mining
- Monica H. Ou, Geoff A. W. West, Mihai M. Lazarescu, Chris Clay:
Interactive Knowledge Validation in CBR for Decision Support in Medicine. 289-299 - Rainer Schmidt, Olga Vorobieva:
Adaptation and Medical Case-Based Reasoning Focusing on Endocrine Therapy Support. 300-309 - Alberto Faro, Daniela Giordano, Manuela Pennisi, Giacomo Scarciofalo, Concetto Spampinato, Francesco Tramontana:
Transcranial Magnetic Stimulation (TMS) to Evaluate and Classify Mental Diseases Using Neural Networks. 310-314 - Umberto Castellani
Towards Information Visualization and Clustering Techniques for MRI Data Sets. 315-319
Computer Vision and Imaging
- Liliana Ironi, Stefania Tentoni:
Electrocardiographic Imaging: Towards Automated Interpretation of Activation Maps. 323-332 - Daniela Giordano, Rosalia Leonardi, Francesco Maiorana, Gabriele Cristaldi, Maria Luisa Distefano:
Automatic Landmarking of Cephalograms by Cellular Neural Networks. 333-342 - Peter Haddawy, Matthew N. Dailey, Ploen Kaewruen, Natapope Sarakhette:
Anatomical Sketch Understanding: Recognizing Explicit and Implicit Structure. 343-352 - Jeong-Sik Kim, Yong-Guk Kim, Soo-Mi Choi, Myoung-Hee Kim:
Morphometry of the Hippocampus Based on a Deformable Model and Support Vector Machines. 353-362 - Luka Sajn, Matjaz Kukar, Igor Kononenko, Metka Milcinski:
Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics. 363-372
Knowledge Management
- Chris Reed, Brian Boswell, Ron Neville:
Multi-agent Patient Representation in Primary Care. 375-384 - Froduald Kabanza, Guy Bisson:
Clinical Reasoning Learning with Simulated Patients. 385-394 - Dmitry Kochin, Leonas Ustinovichius, Victoria Sliesoraitiene:
Implicit Learning System for Teaching the Art of Acute Cardiac Infarction Diagnosis. 395-399 - Laura Maruster, René J. Jorna:
Which Kind of Knowledge Is Suitable for Redesigning Hospital Logistic Processes?. 400-405
Machine Learning, Knowledge Discovery and Data Mining
- David Sánchez, Antonio Moreno:
Web Mining Techniques for Automatic Discovery of Medical Knowledge. 409-413 - Nada Lavrac, Marko Bohanec, Aleksander Pur, Bojan Cestnik, Mitja Jermol
Resource Modeling and Analysis of Regional Public Health Care Data by Means of Knowledge Technologies. 414-418 - Balázs Gaál, István Vassányi, György Kozmann:
An Evolutionary Divide and Conquer Method for Long-Term Dietary Menu Planning. 419-423 - Thomas Guyet
Human/Computer Interaction to Learn Scenarios from ICU Multivariate Time Series. 424-428 - Jerzy Blaszczynski
Mining Clinical Data: Selecting Decision Support Algorithm for the MET-AP System. 429-433 - Amir R. Razavi, Hans Gill, Hans Åhlfeldt, Nosrat Shahsavar:
A Data Pre-processing Method to Increase Efficiency and Accuracy in Data Mining. 434-443 - John H. Holmes, Jennifer A. Sager:
Rule Discovery in Epidemiologic Surveillance Data Using EpiXCS: An Evolutionary Computation Approach. 444-452 - Martin Atzmüller, Joachim Baumeister, Achim Hemsing, Ernst-Jürgen Richter, Frank Puppe:
Subgroup Mining for Interactive Knowledge Refinement. 453-462 - A. Bamgbade, Ray L. Somorjai, Brion Dolenko, Erinija Pranckeviciene
Evidence Accumulation to Identify Discriminatory Signatures in Biomedical Spectra. 463-467 - Sarunas Raudys, Richard Baumgartner, Ray L. Somorjai:
On Understanding and Assessing Feature Selection Bias. 468-472 - Keith Marsolo, Srinivasan Parthasarathy
A Model-Based Approach to Visualizing Classification Decisions for Patient Diagnosis. 473-483 - Élisa Fromont, Rene Quiniou, Marie-Odile Cordier:
Learning Rules from Multisource Data for Cardiac Monitoring. 484-493 - David George Lindsay, Siân Cox:
Effective Confidence Region Prediction Using Probability Forecasters. 494-503 - Jitimon Keinduangjun, Punpiti Piamsa-nga, Yong Poovorawan:
Signature Recognition Methods for Identifying Influenza Sequences. 504-513 - Minca Mramor, Gregor Leban, Janez Demsar, Blaz Zupan:
Conquering the Curse of Dimensionality in Gene Expression Cancer Diagnosis: Tough Problem, Simple Models. 514-523 - Xin Zhang, Chitta Baral, Seungchan Kim
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset. 524-534 - Fabio Rinaldi
Relation Mining over a Corpus of Scientific Literature. 535-544
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