Artificial Intelligence in Medicine

15th Conference on Artificial Intelligence in Medicine, AIME 2015, Pavia, Italy, June 17-20, 2015. Proceedings

  • John H. Holmes
  • Riccardo Bellazzi
  • Lucia Sacchi
  • Niels Peek

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9105)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9105)

Table of contents

  1. Front Matter
    Pages 1-14
  2. Keynote Presentations

  3. Process Mining and Phenotyping

    1. Front Matter
      Pages 11-11
    2. Nir Nissim, Mary Regina Boland, Robert Moskovitch, Nicholas P. Tatonetti, Yuval Elovici, Yuval Shahar et al.
      Pages 13-24
    3. Zhengxing Huang, Jose M. Juarez, Wei Dong, Lei Ji, Huilong Duan
      Pages 25-34
    4. Carlo Combi, Barbara Oliboni, Alberto Gabrieli
      Pages 57-62
  4. Data Mining and Machine Learning

    1. Front Matter
      Pages 63-63
    2. Andrea Damiani, Mauro Vallati, Roberto Gatta, Nicola Dinapoli, Arthur Jochems, Timo Deist et al.
      Pages 65-75
    3. Tim Op De Beéck, Arjen Hommersom, Jan Van Haaren, Maarten van der Heijden, Jesse Davis, Peter Lucas et al.
      Pages 76-85
    4. Roberto Luis Shinmoto Torres, Asanga Wickramasinghe, Viet Ninh Pham, Damith Chinthana Ranasinghe
      Pages 86-95
    5. Sandro Radovanovic, Milan Vukicevic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic
      Pages 96-100
    6. Simone Marini, Ivan Limongelli, Ettore Rizzo, Tan Da, Riccardo Bellazzi
      Pages 101-105
    7. Enea Parimbelli, Silvana Quaglini, Riccardo Bellazzi, John H. Holmes
      Pages 106-110
  5. Temporal Data Mining

    1. Front Matter
      Pages 111-111
    2. Germain Forestier, François Petitjean, Laurent Riffaud, Pierre Jannin
      Pages 123-132

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 15th Conference on Artificial Intelligence in Medicine, AIME 2015, held in Pavia, Italy, in June 2015. The 19 revised full and 24 short papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in the following topical sections: process mining and phenotyping; data mining and machine learning; temporal data mining; uncertainty and Bayesian networks; text mining; prediction in clinical practice; and knowledge representation and guidelines.

Keywords

classification cloud computing data mining decision support systems fuzzy logic health care knowledge representation and reasoning medical informatics modeling methodologies natural language processing ontologies prediction probabilistic reasoning semantic Web text mining

Editors and affiliations

  • John H. Holmes
    • 1
  • Riccardo Bellazzi
    • 2
  • Lucia Sacchi
    • 3
  • Niels Peek
    • 4
  1. 1.University of PennsylvaniaPhiladelphiaUSA
  2. 2.University of PaviaPaviaItaly
  3. 3.University of PaviaPaviaItaly
  4. 4.University of ManchesterManchesterUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-19551-3
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-19550-6
  • Online ISBN 978-3-319-19551-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
Industry Sectors
Pharma
Automotive
Chemical Manufacturing
Biotechnology
Electronics
Telecommunications
Energy, Utilities & Environment
Aerospace