Thirty years of artificial intelligence in medicine (AIME) conferences: A review of research themes

[1]  Geoffrey J. Gordon,et al.  Artificial Intelligence in Medicine: 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings , 2019, Lecture Notes in Computer Science.

[2]  Guido Avanzolini,et al.  Classification of Early-Mild Subjects with Parkinson's Disease by Using Sensor-Based Measures of Posture, Gait, and Transitions , 2013, AIME.

[3]  Frank van Harmelen,et al.  Rule-Based Formalization of Eligibility Criteria for Clinical Trials , 2013, AIME.

[4]  Antoine Doucet,et al.  Added-Value of Automatic Multilingual Text Analysis for Epidemic Surveillance , 2013, AIME.

[5]  Carlo Combi,et al.  Extraction, Analysis, and Visualization of Temporal Association Rules from Interval-Based Clinical Data , 2013, AIME.

[6]  Peter J. F. Lucas,et al.  Understanding the Co-occurrence of Diseases Using Structure Learning , 2013, AIME.

[7]  H. Duan,et al.  Similarity Measuring between Patient Traces for Clinical Pathway Analysis , 2013, AIME.

[8]  Wojtek Michalowski,et al.  Using Constraint Logic Programming to Implement Iterative Actions and Numerical Measures during Mitigation of Concurrently Applied Clinical Practice Guidelines , 2013, AIME.

[9]  Milos Hauskrecht,et al.  Clinical Time Series Prediction with a Hierarchical Dynamical System , 2013, AIME.

[10]  Nicoletta Dessì,et al.  Enhancing Random Forests Performance in Microarray Data Classification , 2013, AIME.

[11]  Krystyna Milian,et al.  Automated generation of patient-tailored electronic care pathways by translating computer-interpretable guidelines into hierarchical task networks , 2013, Artif. Intell. Medicine.

[12]  Lawrence Hunter,et al.  AMIA Board white paper: definition of biomedical informatics and specification of core competencies for graduate education in the discipline , 2012, J. Am. Medical Informatics Assoc..

[13]  Enrique J. Gómez,et al.  Statistical Machine Learning for Automatic Assessment of Physical Activity Intensity Using Multi-axial Accelerometry and Heart Rate , 2011, AIME.

[14]  Manfred Reichert,et al.  What BPM Technology Can Do for Healthcare Process Support , 2011, AIME.

[15]  Blaz Zupan,et al.  Ranking and 1-Dimensional Projection of Cell Development Transcription Profiles , 2011, AIME.

[16]  Evert de Jonge,et al.  Repeated Prognosis in the Intensive Care: How Well Do Physicians and Temporal Models Perform? , 2011, AIME.

[17]  Lynda Tamine,et al.  Voting Techniques for a Multi-terminology Based Biomedical Information Retrieval , 2011, AIME.

[18]  Blaz Zupan,et al.  A Data Mining Library for miRNA Annotation and Analysis , 2011, AIME.

[19]  Krystyna Milian,et al.  Careflow Planning: From Time-Annotated Clinical Guidelines to Temporal Hierarchical Task Networks , 2011, AIME.

[20]  Rodrigo Bonacin,et al.  Towards the Formalization of Guidelines Care Actions Using Patterns and Semantic Web Technologies , 2011, AIME.

[21]  Martin J. O'Connor,et al.  A Rule-Based Method for Specifying and Querying Temporal Abstractions , 2011, AIME.

[22]  Diego Boscá,et al.  An Archetype-Based Solution for the Interoperability of Computerised Guidelines and Electronic Health Records , 2011, AIME.

[23]  Fabio A. González,et al.  Visual pattern mining in histology image collections using bag of features , 2011, Artif. Intell. Medicine.

[24]  David McSherry,et al.  Conversational case-based reasoning in medical decision making , 2011, Artif. Intell. Medicine.

[25]  Siriwan Suebnukarn,et al.  Intelligent dental training simulator with objective skill assessment and feedback , 2011, Artif. Intell. Medicine.

[26]  Gil Alterovitz,et al.  Knowledge-Based Bioinformatics: From analysis to interpretation , 2010 .

[27]  Enrique J. Gómez,et al.  Temporal Data Mining of HIV Registries: Results from a 25 Years Follow-Up , 2009, AIME.

[28]  Angelo Nuzzo,et al.  An Architecture for Automated Reasoning Systems for Genome-Wide Studies , 2009, AIME.

[29]  Riccardo Bellazzi,et al.  Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use , 2009, AIME.

[30]  Russell Greiner,et al.  Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach , 2009, AIME.

[31]  Blaz Zupan,et al.  On Quality of Different Annotation Sources for Gene Expression Analysis , 2009, AIME.

[32]  Samina Raza Abidi,et al.  Towards the Merging of Multiple Clinical Protocols and Guidelines via Ontology-Driven Modeling , 2009, AIME.

[33]  Feng Gao,et al.  Using Temporal Constraints to Integrate Signal Analysis and Domain Knowledge in Medical Event Detection , 2009, AIME.

[34]  Syed Sibte Raza Abidi,et al.  Integrating Healthcare Knowledge Artifacts for Clinical Decision Support: Towards Semantic Web Based Healthcare Knowledge Morphing , 2009, AIME.

[35]  Nico Karssemeijer,et al.  Causal Probabilistic Modelling for Two-View Mammographic Analysis , 2009, AIME.

[36]  Carol Friedman,et al.  Discovering Novel Adverse Drug Events Using Natural Language Processing and Mining of the Electronic Health Record , 2009, AIME.

[37]  David Riaño,et al.  An Ontology for the Care of the Elder at Home , 2009, AIME.

[38]  Fabio A. González,et al.  Histopathology Image Classification Using Bag of Features and Kernel Functions , 2009, AIME.

[39]  Adelaide Freitas,et al.  Effect of Background Correction on Cancer Classification with Gene Expression Data , 2009, AIME.

[40]  Nicoletta Dessì,et al.  A Framework for Multi-class Learning in Micro-array Data Analysis , 2009, AIME.

[41]  Fabio Rinaldi,et al.  Using Existing Biomedical Resources to Detect and Ground Terms in Biomedical Literature , 2009, AIME.

[42]  Sander M. Bohte,et al.  Adaptive resource allocation for efficient patient scheduling , 2009, Artif. Intell. Medicine.

[43]  Peter Szolovits,et al.  The coming of age of artificial intelligence in medicine , 2009, Artif. Intell. Medicine.

[44]  Roque Marín,et al.  Temporal similarity measures for querying clinical workflows , 2009, Artif. Intell. Medicine.

[45]  Katharina Kaiser,et al.  Versioning computer-interpretable guidelines: Semi-automatic modeling of 'Living Guidelines' using an information extraction method , 2009, Artif. Intell. Medicine.

[46]  Volker Haarslev,et al.  Categorical Representation of Evolving Structure of an Ontology for Clinical Fungus , 2007, AIME.

[47]  Samina Raza Abidi,et al.  Semantic Web Framework for Knowledge-Centric Clinical Decision Support Systems , 2007, AIME.

[48]  Benoit Scherrer,et al.  MRF Agent Based Segmentation: Application to MRI Brain Scans , 2007, AIME.

[49]  Roque Marín,et al.  Querying Clinical Workflows by Temporal Similarity , 2007, AIME.

[50]  Richard W. Hall,et al.  Document-Oriented Views of Guideline Knowledge Bases , 2007, AIME.

[51]  Angelo Nuzzo,et al.  An Integrated IT System for Phenotypic and Genotypic Data Mining and Management , 2007, AIME.

[52]  Roque Marín,et al.  Temporal Data Mining with Temporal Constraints , 2007, AIME.

[53]  Jim Hunter,et al.  Automatic Generation of Textual Summaries from Neonatal Intensive Care Data , 2007, AIME.

[54]  Tanja Urbancic,et al.  Literature Mining: Towards Better Understanding of Autism , 2007, AIME.

[55]  Marc Cavazza,et al.  Integrating Document-Based and Knowledge-Based Models for Clinical Guidelines Analysis , 2007, AIME.

[56]  Kent A. Spackman,et al.  Replacing SEP-Triplets in SNOMED CT Using Tractable Description Logic Operators , 2007, AIME.

[57]  Hilbert J. Kappen,et al.  Inference in the Promedas Medical Expert System , 2007, AIME.

[58]  Fabio Rinaldi,et al.  Mining of relations between proteins over biomedical scientific literature using a deep-linguistic approach , 2007, Artif. Intell. Medicine.

[59]  Frank van Harmelen,et al.  Extraction and use of linguistic patterns for modelling medical guidelines , 2007, Artif. Intell. Medicine.

[60]  Katharina Kaiser,et al.  How can information extraction ease formalizing treatment processes in clinical practice guidelines?: A method and its evaluation , 2007, Artif. Intell. Medicine.

[61]  Elpida T. Keravnou,et al.  Artificial Intelligence in Medicine: 10th Conference on Artificial Intelligence in Medicine, AIME 2005, Aberdeen, UK, July 23-27, 2005, Proceedings (Lecture ... / Lecture Notes in Artificial Intelligence) , 2005 .

[62]  Blaz Zupan,et al.  Conquering the Curse of Dimensionality in Gene Expression Cancer Diagnosis: Tough Problem, Simple Models , 2005, AIME.

[63]  Fabio Rinaldi,et al.  Relation Mining over a Corpus of Scientific Literature , 2005, AIME.

[64]  Barry Smith,et al.  Oncology Ontology in the NCI Thesaurus , 2005, AIME.

[65]  Stéfan Jacques Darmoni,et al.  A Benchmark Evaluation of the French MeSH Indexers , 2005, AIME.

[66]  Liliane Pellegrin,et al.  EORCA: A Collaborative Activities Representation for Building Guidelines from Field Observations , 2005, AIME.

[67]  Chitta Baral,et al.  An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset , 2005, AIME.

[68]  Robert H. Baud,et al.  Latent Argumentative Pruning for Compact MEDLINE Indexing , 2005, AIME.

[69]  Concetto Spampinato,et al.  Transcranial Magnetic Stimulation (TMS) to Evaluate and Classify Mental Diseases Using Neural Networks , 2005, AIME.

[70]  Frank van Harmelen,et al.  Formalising Medical Quality Indicators to Improve Guidelines , 2005, AIME.

[71]  John Fox,et al.  AI Planning Technology as a Component of Computerised Clinical Practice Guidelines , 2005, AIME.

[72]  Frank van Harmelen,et al.  Ontology Mapping: A Way Out of the Medical Tower of Babel? , 2005, AIME.

[73]  Frank van Harmelen,et al.  Ontology-Driven Extraction of Linguistic Patterns for Modelling Clinical Guidelines , 2005, BNAIC.

[74]  Marie-Christine Chambrin,et al.  A New Approach to the Abstraction of Monitoring Data in Intensive Care , 2005, AIME.

[75]  Katharina Kaiser,et al.  Gaining Process Information from Clinical Practice Guidelines Using Information Extraction , 2005, AIME.

[76]  John H. Holmes,et al.  Rule Discovery in Epidemiologic Surveillance Data Using EpiXCS: An Evolutionary Computation Approach , 2005, AIME.

[77]  Richard T. Snodgrass,et al.  Extending Temporal Databases to Deal with Telic / Atelic Medical Data , 2006 .

[78]  Riccardo Bellazzi,et al.  Temporal data mining for the quality assessment of hemodialysis services , 2005, Artif. Intell. Medicine.

[79]  Yuval Shahar,et al.  A framework for distributed mediation of temporal-abstraction queries to clinical databases , 2005, Artif. Intell. Medicine.

[80]  Amparo Alonso-Betanzos,et al.  A new method for sleep apnea classification using wavelets and feedforward neural networks , 2005, Artif. Intell. Medicine.

[81]  Venkataraman Ramesh,et al.  A unified classification system for research in the computing disciplines , 2005, Inf. Softw. Technol..

[82]  Elpida T. Keravnou,et al.  Artificial Intelligence in Medicine: 9th Conference on Artificial Intelligence in Medicine in Europe, Aime 2003, Protaras, Cyprus, October 18-22, 2003, Proceedings (Lecture Notes in Computer Science, 2780.) , 2003 .

[83]  Carlo Combi,et al.  Modeling Multimedia and Temporal Aspects , 2003, AIME.

[84]  Ronald Cornet,et al.  Using Description Logics for Managing Medical Terminologies , 2003, AIME.

[85]  Sylvie Charbonnier,et al.  On-Line Extraction of Successive Temporal Sequences from ICU High-Frequency Data for Decision Support Information , 2003, AIME.

[86]  Nada Lavrac,et al.  Analysis of Gene Expression Data by the Logic Minimization Approach , 2003, AIME.

[87]  Catherine Garbay,et al.  Multi-agent Approach for Image Processing: A Case Study for MRI Human Brain Scans Interpretation , 2003, AIME.

[88]  Robert H. Baud,et al.  Learning-Free Text Categorization , 2003, AIME.

[89]  Frank van Harmelen,et al.  Experiences in the Formalisation and Verification of Medical Protocols , 2003, AIME.

[90]  Ivan Bratko,et al.  Attribute Interactions in Medical Data Analysis , 2003, AIME.

[91]  Yuval Shahar,et al.  DEGEL: A Hybrid, Multiple-Ontology Framework for Specification and Retrieval of Clinical Guidelines , 2003, AIME.

[92]  Zoltan Szallasi,et al.  Is It Time to Trade "Wet-Work" for Network? , 2003, AIME.

[93]  Riccardo Bellazzi,et al.  Quality Assessment of Hemodialysis Services through Temporal Data Mining , 2003, AIME.

[94]  Nicolette de Keizer,et al.  Integrating classification trees with local logistic regression in Intensive Care prognosis , 2003, Artif. Intell. Medicine.

[95]  Marco Zaffalon,et al.  Reliable diagnoses of dementia by the naive credal classifier inferred from incomplete cognitive data , 2003, Artif. Intell. Medicine.

[96]  Matjaz Kukar,et al.  Transductive reliability estimation for medical diagnosis , 2003, Artif. Intell. Medicine.

[97]  Bart De Moor,et al.  Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejection , 2003, Artif. Intell. Medicine.

[98]  Abdul V. Roudsari,et al.  Integrating model-based decision support in a multi-modal reasoning system for managing type 1 diabetic patients , 2003, Artif. Intell. Medicine.

[99]  Silvia Miksch,et al.  Using Time-Oriented Data Abstraction Methods to Optimize Oxygen Supply for Neonates , 2001, AIME.

[100]  Enrico W. Coiera,et al.  Mediated Agent Interaction , 2001, AIME.

[101]  Bernard Gibaud,et al.  Numeric and Symbolic Knowledge Representation of Cortex Anatomy Using Web Technologies , 2001, AIME.

[102]  Catherine Garbay,et al.  Dynamic Adaptation of Cooperative Agents for MRI Brain Scans Segmentation , 2001, AIME.

[103]  Sanjay Modgil,et al.  Generating Symbolic and Natural Language Partial Solutions for Inclusion in Medical Plans , 2001, AIME.

[104]  Silvana Quaglini,et al.  Guideline-based careflow systems , 2000, Artif. Intell. Medicine.

[105]  Riccardo Bellazzi,et al.  Intelligent analysis of clinical time series: an application in the diabetes mellitus domain , 2000, Artif. Intell. Medicine.

[106]  Jim Hunter,et al.  Knowledge-Based Event Detection in Complex Time Series Data , 1999, AIMDM.

[107]  Rainer Schmidt,et al.  Experiences with Case-Based Reasoning Methods and Prototypes for Medical Knowledge-Based Systems , 1999, AIMDM.

[108]  Francesco Pinciroli,et al.  Visualizing Temporal Clinical Data on the WWW , 1999, AIMDM.

[109]  Gianpaolo Molino,et al.  From Clinical Guidelines to Decision Support , 1999, AIMDM.

[110]  Silvia Miksch,et al.  Abstracting Steady Qualitative Descriptions over Time from Noisy, High-Frequency Data , 1999, AIMDM.

[111]  Nada Lavrac,et al.  Machine Learning for Data Mining in Medicine , 1999, AIMDM.

[112]  Yuval Shahar,et al.  Timing Is Everything: Temporal Reasoning and Temporal Data Maintenance in Medicine , 1999, AIMDM.

[113]  Floriana Grasso,et al.  A Conversational Model for Health Promotion on the World Wide Web , 1999, AIMDM.

[114]  Gabriella Kókai,et al.  Modelling Blood Vessels of the Eye with Parametric L-Systems Using Evolutionary Algorithms , 1999, AIMDM.

[115]  Ehud Reiter,et al.  Types of Knowledge Required to Personalise Smoking Cessation Letters , 1999, AIMDM.

[116]  Christopher J. Taylor,et al.  A Multi-agent System for MRI Brain Segmentation , 1999, AIMDM.

[117]  Yuval Shahar,et al.  The Asgaard project: a task-specific framework for the application and critiquing of time-oriented clinical guidelines , 1998, Artif. Intell. Medicine.

[118]  John Fox,et al.  Disseminating medical knowledge: the PROforma approach , 1998, Artif. Intell. Medicine.

[119]  Riccardo Bellazzi,et al.  Qualitative models and fuzzy systems: an integrated approach for learning from data , 1998, Artif. Intell. Medicine.

[120]  Michel Dojat,et al.  Temporal Scenario Recognition for Intelligent Patient Monitoring , 1997, AIME.

[121]  Derek A. Linkens,et al.  Self-Learning Fuzzy Logic Control in Medicine , 1997, AIME.

[122]  Tibor Gyimóthy,et al.  Application of Inductive Logic Programming for Learning ECG Waveforms , 1997, AIME.

[123]  Piero Mussio,et al.  Distributed Plan Construction and Execution for Medical Image Interpretation , 1997, AIME.

[124]  Catherine Garbay,et al.  A Society of Goal-Oriented Agents for the Analysis of Living Cells , 1997, AIME.

[125]  Constantine D. Spyropoulos,et al.  Planning and Scheduling Patient Tests in Hospital Laboratories , 1997, AIME.

[126]  Pedro Larrañaga,et al.  Learning Bayesisan Networks by Genetic Algorithms: A Case Study in the Prediction of Survival in Malignant Skin Melanoma , 1997, AIME.

[127]  Enrico W. Coiera,et al.  Artificial intelligence in medicine: the challenges ahead. , 1996, Journal of the American Medical Informatics Association : JAMIA.

[128]  Jean-Marc Chassery,et al.  A Cooperative and Adaptive Approach to Medical Image Segmentation , 1995, AIME.

[129]  Rainer Schmidt,et al.  Adaptation and Abstraction in a Case-Based Antibiotics Therapy Adviser , 1995, AIME.

[130]  Elpida T. Keravnou,et al.  Modelling Medical Concepts as Time-Objects , 1995, AIME.

[131]  Vimla L. Patel,et al.  Medical Decision Making Using Ignorant Influence Diagrams , 1995, AIME.

[132]  Yuval Shahar,et al.  A Component-Based Architecture for Automation of Protocol-Directed Therapy , 1995, AIME.

[133]  Cristiana Larizza,et al.  A General Framework for Building Patient Monitoring Systems , 1995, AIME.

[134]  Ole K. Hejlesen,et al.  Dynamic Propagation in Causal Probabilistic Networks with Instantiated Variables , 1995, AIME.

[135]  Luca Chittaro,et al.  Modeling Medical Reasoning with the Event Calculus: An Application to the Management of Mechanical Ventilation , 1995, AIME.

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[152]  David J. Spiegelhalter,et al.  Cytotoxic Chemotherapy Monitoring Using Stochastic Simulation on Graphical Models , 1991, AIME.

[153]  Robert F. Harrison,et al.  A Connectionist Aid to the Early Diagnosis of Myocardial Infarction , 1991, AIME.

[154]  Paul Suetens,et al.  Model-Based Image Segmentation: Methods and Applications , 1991, AIME.

[155]  Riccardo Bellazzi,et al.  A Blackboard Control Architecture for Therapy Planning , 1991, AIME.

[156]  Gregory F. Cooper,et al.  The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks , 1989, AIME.

[157]  Ivan Bratko,et al.  Medical Analysis of Automatically Induced Diagnostic Rules , 1989, AIME.

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