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ORCID15. AIME 2015: Pavia, Italy
- John H. Holmes, Riccardo Bellazzi
, Lucia Sacchi, Niels Peek:
Artificial Intelligence in Medicine - 15th Conference on Artificial Intelligence in Medicine, AIME 2015, Pavia, Italy, June 17-20, 2015. Proceedings. Lecture Notes in Computer Science 9105, Springer 2015, ISBN 978-3-319-19550-6
Keynote Presentations
- George Hripcsak:
Physics of the Medical Record: Handling Time in Health Record Studies. 3-6 - Goran Nenadic:
Contextualisation of Biomedical Knowledge Through Large-Scale Processing of Literature, Clinical Narratives and Social Media. 7-9
Process Mining and Phenotyping
- Nir Nissim, Mary Regina Boland, Robert Moskovitch, Nicholas P. Tatonetti, Yuval Elovici, Yuval Shahar, George Hripcsak:
An Active Learning Framework for Efficient Condition Severity Classification. 13-24 - Zhengxing Huang, Jose M. Juarez, Wei Dong, Lei Ji, Huilong Duan:
Predictive Monitoring of Local Anomalies in Clinical Treatment Processes. 25-34 - Ben-Manson Toussaint, Vanda Luengo:
Mining Surgery Phase-Related Sequential Rules from Vertebroplasty Simulations Traces. 35-46 - Yiye Zhang, Rema Padman:
Data Driven Order Set Development Using Metaheuristic Optimization. 47-56 - Carlo Combi, Barbara Oliboni, Alberto Gabrieli:
Conceptual Modeling of Clinical Pathways: Making Data and Processes Connected. 57-62
Data Mining and Machine Learning
- Andrea Damiani, Mauro Vallati, Roberto Gatta, Nicola Dinapoli, Arthur Jochems, Timo Deist, Johan van Soest, Andre Dekker, Vincenzo Valentini:
Distributed Learning to Protect Privacy in Multi-centric Clinical Studies. 65-75 - Tim Op De Beéck, Arjen Hommersom, Jan Van Haaren, Maarten van der Heijden, Jesse Davis, Peter J. F. Lucas, Lucy Overbeek, Iris Nagtegaal:
Mining Hierarchical Pathology Data Using Inductive Logic Programming. 76-85 - Roberto Luis Shinmoto Torres, Asanga Wickramasinghe, Viet Ninh Pham, Damith Chinthana Ranasinghe:
What if Your Floor Could Tell Someone You Fell? A Device Free Fall Detection Method. 86-95 - Sandro Radovanovic, Milan Vukicevic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic:
Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction. 96-100 - Simone Marini, Ivan Limongelli, Ettore Rizzo, Tan Da, Riccardo Bellazzi:
A Genomic Data Fusion Framework to Exploit Rare and Common Variants for Association Discovery. 101-105 - Enea Parimbelli, Silvana Quaglini, Riccardo Bellazzi, John H. Holmes:
Collaborative Filtering for Estimating Health Related Utilities in Decision Support Systems. 106-110
Temporal Data Mining
- Allan Tucker, Yuanxi Li:
Updating Stochastic Networks to Integrate Cross-Sectional and Longitudinal Studies. 113-122 - Germain Forestier, François Petitjean, Laurent Riffaud, Pierre Jannin:
Optimal Sub-Sequence Matching for the Automatic Prediction of Surgical Tasks. 123-132 - Reinier Kop, Mark Hoogendoorn, Leon M. G. Moons, Mattijs E. Numans, Annette ten Teije:
On the Advantage of Using Dedicated Data Mining Techniques to Predict Colorectal Cancer. 133-142 - Haider Syed, Amar K. Das:
Identifying Chemotherapy Regimens in Electronic Health Record Data Using Interval-Encoded Sequence Alignment. 143-147 - Ward R. J. van Breda, Mark Hoogendoorn, A. E. Eiben, Matthias Berking:
An Evaluation Framework for the Comparison of Fine-Grained Predictive Models in Health Care. 148-152 - Günter Tusch, Olvi Tole, Mary Ellen Hoinski:
A Model for Cross-Platform Searches in Temporal Microarray Data. 153-158
Uncertainty and Bayesian Networks
- Kalia Orphanou, Athena Stassopoulou, Elpida Keravnou:
Risk Assessment for Primary Coronary Heart Disease Event Using Dynamic Bayesian Networks. 161-165 - Andrea Franco, Marco Correia, Jorge Cruz:
Uncertainty Propagation in Biomedical Models. 166-171 - Francesco Sambo, Andrea Facchinetti, Liisa Hakaste, Jasmina Kravic, Barbara Di Camillo, Giuseppe Fico, Jaakko Tuomilehto, Leif Groop, Rafael Gabriel, Tuomi Tiinamaija, Claudio Cobelli:
A Bayesian Network for Probabilistic Reasoning and Imputation of Missing Risk Factors in Type 2 Diabetes. 172-176 - Elena Sokolova, Perry Groot, Tom Claassen, Daniel von Rhein, Jan K. Buitelaar, Tom Heskes:
Causal Discovery from Medical Data: Dealing with Missing Values and a Mixture of Discrete and Continuous Data. 177-181 - Shuo Yang, Kristian Kersting, Greg Terry, Jefferey Carr, Sriraam Natarajan:
Modeling Coronary Artery Calcification Levels from Behavioral Data in a Clinical Study. 182-187 - Andrea Demartini, Davide Capozzi, Alberto Malovini, Riccardo Bellazzi:
Running Genome Wide Data Analysis Using a Parallel Approach on a Cloud Platform. 188-192
Text Mining
- Phillip Odom, Vishal Bangera, Tushar Khot, David Page, Sriraam Natarajan:
Extracting Adverse Drug Events from Text Using Human Advice. 195-204 - Andreea Kamiana Godea, Cornelia Caragea, Florin Adrian Bulgarov, Suhasini Ramisetty-Mikler:
An Analysis of Twitter Data on E-cigarette Sentiments and Promotion. 205-215 - Ling Jiang, Christopher C. Yang:
Determining User Similarity in Healthcare Social Media Using Content Similarity and Structural Similarity. 216-226 - Wiem Chebil, Lina Fatima Soualmia, Mohamed Nazih Omri, Stéfan Jacques Darmoni:
Biomedical Concepts Extraction Based on Possibilistic Network and Vector Space Model. 227-231 - Eya Znaidi, Lynda Tamine, Chiraz Latiri:
Answering PICO Clinical Questions: A Semantic Graph-Based Approach. 232-237 - Asma Ben Abacha, Duy Dinh, Yassine Mrabet:
Semantic Analysis and Automatic Corpus Construction for Entailment Recognition in Medical Texts. 238-242 - Natalia Grabar, Loïc Dumonet:
Automatic Computing of Global Emotional Polarity in French Health Forum Messages. 243-248 - Jean-Philippe Métivier, Laurie Serrano, Thierry Charnois, Bertrand Cuissart, Antoine Widlöcher:
Automatic Symptom Extraction from Texts to Enhance Knowledge Discovery on Rare Diseases. 249-254
Prediction in Clinical Practice
- Marco Pota, Elisa Scalco, Giuseppe Sanguineti, Maria Luisa Belli, Giovanni Mauro Cattaneo, Massimo Esposito, Giovanna Rizzo:
A Composite Model for Classifying Parotid Shrinkage in Radiotherapy Patients Using Heterogeneous Data. 257-266 - Aleksander Sadikov, Jure Zabkar, Martin Mozina, Vida Groznik, Dag Nyholm, Mevludin Memedi:
Feasibility of Spirography Features for Objective Assessment of Motor Symptoms in Parkinson's Disease. 267-276 - Isidoro J. Casanova, Manuel Campos, Jose M. Juarez, Antonio Fernandez-Fernandez-Arroyo, Jose A. Lorente:
Using Multivariate Sequential Patterns to Improve Survival Prediction in Intensive Care Burn Unit. 277-286 - Che Ngufor, Sudhindra Upadhyaya, Dennis Murphree, Nageswar Madde, Daryl J. Kor, Jyotishman Pathak:
A Heterogeneous Multi-Task Learning for Predicting RBC Transfusion and Perioperative Outcomes. 287-297 - Camilla Colombo, Jan Hendrik Leopold, Lieuwe D. J. Bos, Riccardo Bellazzi, Ameen Abu-Hanna:
Comparison of Probabilistic versus Non-probabilistic Electronic Nose Classification Methods in an Animal Model. 298-303
Knowledge Representation and Guidelines
- Qing Hu, Zhisheng Huang, Annette ten Teije, Frank van Harmelen:
Detecting New Evidence for Evidence-Based Guidelines Using a Semantic Distance Method. 307-316 - Veruska Zamborlini, Marcos Da Silveira, Cédric Pruski, Annette ten Teije, Frank van Harmelen:
Analyzing Recommendations Interactions in Clinical Guidelines - Impact of Action Type Hierarchies and Causation Beliefs. 317-326 - Luca Anselma, Luca Piovesan, Abdul Sattar, Bela Stantic, Paolo Terenziani:
A General Approach to Represent and Query Now-Relative Medical Data in Relational Databases. 327-331 - Matteo Spiotta, Paolo Terenziani, Daniele Theseider Dupré:
Temporal Conformance Analysis of Clinical Guidelines Execution. 332-336 - Lucia Sacchi, Enea Parimbelli, Silvia Panzarasa, Natalia Viani, Elena Rizzo, Carlo Napolitano, Roxana Ioana Budasu, Silvana Quaglini:
Combining Decision Support System-Generated Recommendations with Interactive Guideline Visualization for Better Informed Decisions. 337-341
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