Artificial Intelligence in Medicine: 12th Conference on Artificial Intelligence in Medicine, AIME 2009, Verona, Italy, July 18-22, 2009. Proceedings

454 Pages·2009·7.49 MB·English

by  Carol Friedman (auth.)

Lecture Notes in Artificial Intelligence 5651
EditedbyR.Goebel,J.Siekmann,andW.Wahlster
Subseries of Lecture Notes in Computer Science
Carlo Combi Yuval Shahar
Ameen Abu-Hanna (Eds.)
Artificial Intelligence
in Medicine
12th Conference on Artificial Intelligence
in Medicine, AIME 2009
Verona, Italy, July 18-22, 2009
Proceedings
1 3
SeriesEditors
RandyGoebel,UniversityofAlberta,Edmonton,Canada
JörgSiekmann,UniversityofSaarland,Saarbrücken,Germany
WolfgangWahlster,DFKIandUniversityofSaarland,Saarbrücken,Germany
VolumeEditors
CarloCombi
UniversityofVerona,DepartmentofComputerScience
Ca’Vignal2,stradaleGrazie15,37134Verona,Italy
E-mail:[email protected]
YuvalShahar
BenGurionUniversityoftheNegev
DepartmentofInformationSystemsEngineering
P.O.Box653,Beer-Sheva84105,Israel
E-mail:[email protected]
AmeenAbu-Hanna
UniversityofAmsterdam,AcademicMedicalCenter
DepartmentofMedicalInformatics
Meibergdreef15,1105AZAmsterdam,TheNetherlands
E-mail:[email protected]
LibraryofCongressControlNumber:2009930527
CRSubjectClassification(1998):I.2,I.4,J.3,H.2.8,H.4,H.3
LNCSSublibrary:SL7–ArtificialIntelligence
ISSN 0302-9743
ISBN-10 3-642-02975-2SpringerBerlinHeidelbergNewYork
ISBN-13 978-3-642-02975-2SpringerBerlinHeidelbergNewYork
Thisworkissubjecttocopyright.Allrightsarereserved,whetherthewholeorpartofthematerialis
concerned,specificallytherightsoftranslation,reprinting,re-useofillustrations,recitation,broadcasting,
reproductiononmicrofilmsorinanyotherway,andstorageindatabanks.Duplicationofthispublication
orpartsthereofispermittedonlyundertheprovisionsoftheGermanCopyrightLawofSeptember9,1965,
initscurrentversion,andpermissionforusemustalwaysbeobtainedfromSpringer.Violationsareliable
toprosecutionundertheGermanCopyrightLaw.
springer.com
©Springer-VerlagBerlinHeidelberg2009
PrintedinGermany
Typesetting:Camera-readybyauthor,dataconversionbyScientificPublishingServices,Chennai,India
Printedonacid-freepaper SPIN:12717941 06/3180 543210
Preface
The European Society for Artificial Intelligence in Medicine (AIME) was es-
tablished in 1986 following a very successful workshop held in Pavia, Italy, the
year before. The principal aims of AIME are to foster fundamental and applied
research in the application of artificial intelligence (AI) techniques to medical
care and medical research, and to provide a forum at biennial conferences for
discussing any progress made. For this reason the main activity of the society
wastheorganizationofaseriesofbiennialconferences,heldinMarseilles,France
(1987), London, UK (1989), Maastricht, The Netherlands (1991), Munich, Ger-
many (1993), Pavia, Italy (1995), Grenoble, France (1997), Aalborg, Denmark
(1999),Cascais,Portugal(2001),Protaras,Cyprus(2003),Aberdeen,UK(2005),
andAmsterdam,TheNetherlands(2007).Thisvolumecontainstheproceedings
of AIME 2009,the 12thConference on Articial Intelligence in Medicine, held in
Verona, Italy, July 18-22, 2009.
TheAIME2009goalsweretopresentandconsolidatetheinternationalstate
of the artof AI in biomedicalresearchfrom the perspectives of theory, method-
ology, and application. The conference included two invited lectures, full and
shortpapers,tutorials,workshops,andadoctoralconsortium.Inthe conference
announcement,authorsweresolicitedtosubmitoriginalcontributionsregarding
thedevelopmentoftheory,techniques,andapplicationsofAIinbiomedicine,in-
cluding the exploitationofAI approachesto molecularmedicine andbiomedical
informaticsandtohealthcareorganizationalaspects.Authorsofpapersaddress-
ing theory were requested to describe the properties of novel AI methodologies
potentiallyusefulforsolvingbiomedicalproblems.Authorsofpapersaddressing
techniquesandmethodologieswereaskedtodescribethedevelopmentortheex-
tensionofAImethodsandtheirimplementation,andtodiscusstheassumptions
and limitations of the proposed methods and their novelty with respect to the
stateoftheart.Authorsofpapersaddressingsystemswereaskedtodescribethe
requirements,design,andimplementationofnewAI-inspiredtoolsandsystems,
and discuss their applicability in the medical field. Finally, authors of applica-
tion papers were asked to present the implementation of AI systems to solve
significant medical problems, and to provide sufficient information to allow the
evaluation of the practical benefits of such systems.
AIME 2009 received 140 abstract submissions, 126 thereof were eventually
submittedascompletepapers.Submissionscamefrom34differentcountries,in-
cluding 16 outside Europe. These numbers confirm the high relevance of AIME
inattractingthe interestofseveralresearchgroupsaroundtheglobe.Allpapers
were carefully peer-reviewed by experts from the Program Committee with the
support of additional reviewers. Each submission was reviewed by at least two,
and on average three reviewers. Several submissions received four and even five
reviews. The reviewers judged the quality and originality of the submitted pa-
VI Preface
pers, together with their relevance to the AIME conference. Seven criteria were
taken into consideration in judging submissions: the reviewers’ overall recom-
mendation, the appropriateness, the technical correctness, the quality of pre-
sentation, the originality, the reviewers’ detailed comments, and the reviewers’
confidence in the subject area.
Inafull-dayskype-basedvirtualmeetingheldonApril2,2009andinseveral
shortdiscussions insubsequentdays,a smallcommittee consistingofthe AIME
2009 Scientific Co-chair and Organizing Committee Chair, Carlo Combi, the
AIME President, Ameen Abu-Hanna, and the AIME 2009 Scientific Co-chair,
Yuval Shahar, made the final decisions regarding the AIME 2009 scientific pro-
gram. As a result, 24 long papers (with an acceptance rate of about 19%) and
36 short papers were accepted. Each long paper was presented in a 25-minute
oral presentation during the conference. Each short paper was presented in a
5-minute presentation and by a poster. The papers were organizedaccording to
their topics in the following main themes: (1) Temporal Reasoning and Tempo-
ralData Mining; (2) Therapy Planning,Scheduling, and Guideline-Based Care;
(3)Case-BasedReasoning;(4)MedicalImaging;(5)Knowledge-BasedandDeci-
sionSupportSystems;(6) Ontologies,TerminologiesandNaturalLanguage;(7)
Data Mining,MachineLearning,ClassificationandPrediction;(8)Probabilistic
Modeling and Reasoning; (9) Gene and Protein Data.
Moreover,AIME2009hadtheprivilegeofhostingtwoinvitedspeakers:Carol
Friedman, from Columbia University, New York, and Catherine Garbay, from
the CNRS-Universit´e de Grenoble. Carol Friedman gave a talk on “Discovering
Novel Adverse Drug Events Using Natural Language Processing and Mining of
the Electronic Health Record,” and Catherine Garbay on “Computer Vision: A
Plea for a Constructivist View.”
Continuing a tradition started at AIME 2005, a doctoral consortium, orga-
nized on this occasion by Ameen Abu-Hanna, was held again this year and in-
cludedatutorialgivenbyAmeenAbu-HannaandNielsPeekonhowtoevaluate
probabilistic models. A scientific panel consisting of Riccardo Bellazzi, Michel
Dojat, Jim Hunter, Elpida Keravnou, Peter Lucas, Silvia Miksch, Niels Peek,
Silvana Quaglini, Yuval Shahar, and Blaz Zupan discussed the contents of the
students’ doctoral theses.
As a novelty of AIME 2009, a significant number of full-day workshops
were organized prior to the AIME 2009 main conference: the workshop enti-
tled“KR4HC2009,KnowledgeRepresentationforHealth-Care:Data,Processes
and Guidelines,” chaired by David Rian˜o (Universitat Rovira i Virgili, Spain)
and Annette ten Teije (Vrije Universiteit Amsterdam, The Netherlands); the
workshop “IDAMAP 2009, Intelligent Data Analysis in Biomedicine and Phar-
macology,” chaired by Tomaz Curk (University of Ljubljana, Slovenia), John
H. Holmes (University of Pennsylvania School of Medicine, USA), and Lucia
Sacchi (University of Pavia, Italy); the workshop “Personalization for e-Health
2009,”chairedbyFlorianaGrasso(UniversityofLiverpool,UK)andC´ecileParis
(CSIRO, Sydney, Australia); and the workshop “Neuro-Sharing 2009, Sharing
Data and Tools in Neuroimaging,” chaired by Michel Dojat (Grenoble Insti-
Preface VII
tutdesNeurosciences,France),BernardGibaud(VISAGES,France),andGilles
Kassel (MIS, Universit´e d’Amiens, France). To complete this exciting set of
scientific events, a full-day interactive tutorial was given by John H. Holmes,
University of Pennsylvania, USA entitled “Introduction to Clinical Data Min-
ing.”
We wouldlike to thank everyonewho contributedto AIME 2009.Firstofall
we would like to thank the authors of the papers submitted and the members
of the Program Committee together with the additional reviewers. Thanks are
also due to the invited speakers as well as to the organizers of the workshops
and the tutorial and doctoral consortium. Final thanks go to the Organizing
Committee, who managed all the work making this conference possible. The
free EasyChairconference Web system (http://www.easychair.org/)wasan im-
portanttoolsupportingusinthe managementofsubmissions,reviews,selection
of accepted papers, and preparation of the overall material for the final pro-
ceedings. We would like to thank the University of Verona, the Department of
ComputerScienceoftheUniversityofVerona,andtheFacultyofMathematical,
Physical and Natural Sciences of the same university, which hosted and spon-
sored the conference. Finally, we thank the Springer team for helping us in the
final preparation of this LNCS book.
May 2009
Carlo Combi
Yuval Shahar
Ameen Abu-Hanna
Organization
Scientific Co-chairs
Carlo Combi
Yuval Shahar
Program Committee
Ameen Abu-Hanna, The Netherlands Silvia Miksch, Austria
Klaus-Peter Adlassnig, Austria Stefania Montani, Italy
Steen Andreassen, Denmark Mark Musen, USA
Pedro Barahona,Portugal Barbara Oliboni, Italy
Riccardo Bellazzi, Italy Niels Peek, The Netherlands
Petr Berka, Czech Republic Mor Peleg, Israel
Isabelle Bichindaritz, USA Christian Popow, Austria
Carlo Combi, Italy Silvana Quaglini, Italy
Michel Dojat, France Marco Ramoni, USA
Henrik Eriksson, Sweden Stephen Rees, Denmark
Catherine Garbay, France Lucia Sacchi, Italy
Peter Haddawy, Thailand Rainer Schmidt, Germany
Arie Hasman, The Netherlands Brigitte Seroussi, France
Reinhold Haux, Germany Yuval Shahar, Israel
John Holmes, USA Basilio Sierra, Spain
Werner Horn, Austria Costas Spyropoulos, Greece
Jim Hunter, UK Mario Stefanelli, Italy
Hidde de Jong, France Paolo Terenziani, Italy
Elpida Keravnou,Cyprus Samson Tu, USA
Nada Lavrac, Slovenia Allan Tucker, UK
Xiaohui Liu, UK Frans Voorbraak, The Netherlands
Peter Lucas, The Netherlands Dongwen Wang, USA
Roque Marin, Spain Thomas Wetter, Germany
Paola Mello, Italy Blaz Zupan, Slovenia
Gloria Menegaz, Italy Pierre Zweigenbaum, France
Organizing Committee
Carlo Combi Barbara Oliboni
Mauro Gambini Roberto Posenato
Sara Migliorini Gabriele Pozzani
Aurora Miorelli
X Organization
Additional Reviewers
Luca Anselma Jimenez, Fernando Gerasimos Potamianos
Nicola Barbarini Jose M. Juarez Gabriele Pozzani
Manuele Bicego Katharina Kaiser Giuseppe Pozzi
Alessio Bottrighi Anastasia Krithara Phattanapon Rhienmora
Ernst Buchberger Cristiana Larizza Fabrizio Riguzzi
Manuel Campos Giorgio Leonardi Graeme Ritchie
Umberto Castellani Alberto Malovini Lina Maria Rojas
Hsun-Hsien Chang Michael McGeachie hspace*4mmBarahona
Marco Cristani Marco Montali Andrea Roli
Matteo Cristani Robert Moskovitch Stefania Rubrichi
Fulvia Ferrazzi Igor Mozetic Andreas Seyfang
Nivea Ferreira Natasha Noy Nigam Shah
Mauro Gambini Giulia Paggetti Davide Sottara
Albert Gatt Jose Palma Paolo Torroni
Marco Gavanelli Silvia Panzarasa Harald Trost
Adela Grando Georgios Petasis George Tsatsaronis
Theresia Gschwandtner Francesca Pizzorni Fer- Marina Velikova
Arjen Hommersom rarese Rattapoom Waranusast
Fernando Jimenez Francois Portet
Doctoral Consortium
Chair: Ameen Abu-Hanna, The Netherlands
Workshops
KR4HC 2009, Knowledge Representation for Health-Care: Data,
Processes and Guidelines
Co-chairs: David Rian˜o (Universitat Rovira i Virgili, Spain) and Annette ten
Teije (Vrije Universiteit Amsterdam, The Netherlands)
IDAMAP 2009, Intelligent Data Analysis in Biomedicine and
Pharmacology
Co-chairs: Tomaz Curk (University of Ljubljana, Slovenia), John H. Holmes
(University of Pennsylvania School of Medicine, USA), and Lucia Sacchi (Uni-
versity of Pavia,Italy)
Personalisation for e-Health 2009
Co-chairs:FlorianaGrasso(UniversityofLiverpool,UK)andC´ecileParis(CSIRO,
Sydney, Australia)
Organization XI
Neuro-Sharing 2009, Sharing Data and Tools in Neuroimaging
Co-chairs: Michel Dojat (Grenoble Institut des Neurosciences, FR), Bernard
Gibaud (VISAGES, FR), and Gilles Kassel (MIS, Universit´e d’Amiens, FR)
Tutorial
Introduction to Clinical Data Mining
John H. Holmes, University of Pennsylvania School of Medicine, USA
Table of Contents
Invited Talks
Discovering Novel Adverse Drug Events Using Natural Language
Processing and Mining of the Electronic Health Record ............... 1
Carol Friedman
Computer Vision: A Plea for a Constructivist View .................. 6
Catherine Garbay
1. Temporal Reasoning and Temporal Data Mining
Mining Healthcare Data with Temporal Association Rules:
Improvements and Assessment for a Practical Use.................... 16
Stefano Concaro, Lucia Sacchi, Carlo Cerra, Pietro Fratino, and
Riccardo Bellazzi
A Temporal Data Mining Approach for Discovering Knowledge on the
Changes of the Patient’s Physiology ................................ 26
Corrado Loglisci and Donato Malerba
Severity Evaluation Support for Burns Unit Patients Based on
Temporal Episodic Knowledge Retrieval ............................ 36
Jose M. Juarez, Manuel Campos, Jose Palma, F. Palacios, and
Roque Marin
Using Temporal Constraints to Integrate Signal Analysis and Domain
Knowledge in Medical Event Detection ............................. 46
Feng Gao, Yaji Sripada, Jim Hunter, and Franc¸ois Portet
Temporal Data Mining of HIV Registries: Results from a 25 Years
Follow-Up....................................................... 56
Paloma Chausa, C´esar C´aceres, Lucia Sacchi, Agathe Le´on,
Felipe Garc´ıa, Riccardo Bellazzi, and Enrique J. Go´mez
2. Therapy Planning, Scheduling and
Guideline-Based Care
Modeling Clinical Guidelines through Petri Nets ..................... 61
Marco Beccuti, Alessio Bottrighi, Giuliana Franceschinis,
Stefania Montani, and Paolo Terenziani