Artificial Intelligence in Medicine, Volume 34

Volume 34, Number 1, May 2005

• Michel Dojat, Elpida T. Keravnou:
  Artificial Intelligence in Medicine in Europe AIME'03. 1-2
  
• David Boaz, Yuval Shahar:
  A framework for distributed mediation of temporal-abstraction queries to clinical databases. 3-24
  
• Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Roberto Bellazzi:
  Temporal data mining for the quality assessment of hemodialysis services. 25-39
  
• Danielle Sent, Linda C. van der Gaag:
  Generalised reliability characteristics for probabilistic networks. 41-52
  
• David Murley, Stephen E. Rees, Bodil Rasmussen, Steen Andreassen:
  Decision support of inspired oxygen selection based on Bayesian learning of pulmonary gas exchange parameters. 53-63
  
• Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Vicente Moret-Bonillo:
  A new method for sleep apnea classification using wavelets and feedforward neural networks. 65-76
  
• Jorge Cruz, Pedro Barahona:
  Constraint reasoning in deep biomedical models. 77-88
  

Volume 34, Number 2, June 2005

• Carlo Combi, Barbara Oliboni, Rosalba Rossato:
  Merging multimedia presentations and semistructured temporal data: a graph-based model and its application to clinical information. 89-112
  
• Dursun Delen, Glenn Walker, Amit Kadam:
  Predicting breast cancer survivability: a comparison of three data mining methods. 113-127
  
• Tim W. Nattkemper, Bert Arnrich, Oliver Lichte, Wiebke Timm, Andreas Degenhard, Linda Pointon, Carmel Hayes, Martin O. Leach:
  The UK MARIBS Breast Screening Study: Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods. 129-139
  
• Athanasios Papadopoulos, Dimitrios I. Fotiadis, Aristidis Likas:
  Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines. 141-150
  
• Bert A. Mobley, Eliot Schechter, William E. Moore, Patrick A. McKee, June E. Eichner:
  Neural network predictions of significant coronary artery stenosis in men. 151-161
  
• Allan Tucker, Veronica Vinciotti, Xiaohui Liu, David Garway-Heath:
  A spatio-temporal Bayesian network classifier for understanding visual field deterioration. 163-177
  

Volume 34, Number 3, July 2005

• Stefan Schulz, Udo Hahn:
  Part-whole representation and reasoning in formal biomedical ontologies. 179-200
  
• Ronald Cornet, Ameen Abu-Hanna:
  Description logic-based methods for auditing frame-based medical terminological systems. 201-217
  
• Li Zhang, George Hripcsak, Yehoshua Perl, Michael Halper, James Geller:
  An expert study evaluating the UMLS lexical metaschema. 219-233
  
• Gabriela Alexe, Sorin Alexe, D. E. Axelrod, Peter L. Hammer, D. Weissmann:
  Logical analysis of diffuse large B-cell lymphomas. 235-267
  
• Ling Wang, Marco Ramoni, Kenneth D. Mandl, Paola Sebastiani:
  Factors affecting automated syndromic surveillance. 269-278
  
• Massimo Buscema, Enzo Grossi, M. Intraligi, N. Garbagna, A. Andriulli, M. Breda:
  An optimized experimental protocol based on neuro-evolutionary algorithms: Application to the classification of dyspeptic patients and to the prediction of the effectiveness of their treatment. 279-305
  

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