Artificial Intelligence in Medicine

1. Front Matter

   Pages 1-14

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2. Keynote Presentations

   1. Front Matter

      Pages 1-1

      PDF

   2. Physics of the Medical Record: Handling Time in Health Record Studies

      • George Hripcsak

      Pages 3-6

   3. Contextualisation of Biomedical Knowledge Through Large-Scale Processing of Literature, Clinical Narratives and Social Media

      • Goran Nenadic

      Pages 7-9

3. Process Mining and Phenotyping

   1. Front Matter

      Pages 11-11

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   2. An Active Learning Framework for Efficient Condition Severity Classification

      • Nir Nissim, Mary Regina Boland, Robert Moskovitch, Nicholas P. Tatonetti, Yuval Elovici, Yuval Shahar et al.

      Pages 13-24

   3. Predictive Monitoring of Local Anomalies in Clinical Treatment Processes

      • Zhengxing Huang, Jose M. Juarez, Wei Dong, Lei Ji, Huilong Duan

      Pages 25-34

   4. Mining Surgery Phase-Related Sequential Rules from Vertebroplasty Simulations Traces

      • Ben-Manson Toussaint, Vanda Luengo

      Pages 35-46

   5. Data Driven Order Set Development Using Metaheuristic Optimization

      • Yiye Zhang, Rema Padman

      Pages 47-56

   6. Conceptual Modeling of Clinical Pathways: Making Data and Processes Connected

      • Carlo Combi, Barbara Oliboni, Alberto Gabrieli

      Pages 57-62

4. Data Mining and Machine Learning

   1. Front Matter

      Pages 63-63

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   2. Distributed Learning to Protect Privacy in Multi-centric Clinical Studies

      • Andrea Damiani, Mauro Vallati, Roberto Gatta, Nicola Dinapoli, Arthur Jochems, Timo Deist et al.

      Pages 65-75

   3. Mining Hierarchical Pathology Data Using Inductive Logic Programming

      • Tim Op De Beéck, Arjen Hommersom, Jan Van Haaren, Maarten van der Heijden, Jesse Davis, Peter Lucas et al.

      Pages 76-85

   4. What if Your Floor Could Tell Someone You Fell? A Device Free Fall Detection Method

      • Roberto Luis Shinmoto Torres, Asanga Wickramasinghe, Viet Ninh Pham, Damith Chinthana Ranasinghe

      Pages 86-95

   5. Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction

      • Sandro Radovanovic, Milan Vukicevic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic

      Pages 96-100

   6. A Genomic Data Fusion Framework to Exploit Rare and Common Variants for Association Discovery

      • Simone Marini, Ivan Limongelli, Ettore Rizzo, Tan Da, Riccardo Bellazzi

      Pages 101-105

   7. Collaborative Filtering for Estimating Health Related Utilities in Decision Support Systems

      • Enea Parimbelli, Silvana Quaglini, Riccardo Bellazzi, John H. Holmes

      Pages 106-110

5. Temporal Data Mining

   1. Front Matter

      Pages 111-111

      PDF

   2. Updating Stochastic Networks to Integrate Cross-Sectional and Longitudinal Studies

      • Allan Tucker, Yuanxi Li

      Pages 113-122

   3. Optimal Sub-Sequence Matching for the Automatic Prediction of Surgical Tasks

      • Germain Forestier, François Petitjean, Laurent Riffaud, Pierre Jannin

      Pages 123-132

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.

• 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

• University of Pennsylvania, Philadelphia, USA

  John H. Holmes

• University of Pavia, Pavia, Italy

  Riccardo Bellazzi, Lucia Sacchi

• University of Manchester, Manchester, United Kingdom

  Niels Peek

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