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AIH@IJCAI 2018: Stockholm, Sweden
- Isabelle Bichindaritz, Christian Guttmann, Pau Herrero, Fernando Koch, Andrew Koster, Richard Lenz, Beatriz López Ibáñez, Cindy Marling, Clare Martin, Sara Montagna, Stefania Montani, Manfred Reichert, David Riaño, Michael Ignaz Schumacher, Annette ten Teije, Nirmalie Wiratunga:
Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), co-located with AAMAS 2018, ICML 2018, IJCAI 2018 and ICCBR 2018, Stockholm, Sweden, July 13-14, 2018. CEUR Workshop Proceedings 2142, CEUR-WS.org 2018
Session 1: Data Science and Decision Systems for Health
- Julià Camps, Adam McCarthy, Blanca Rodríguez, Ana Mincholé:
ConvNet based QRS multilead delineator in electrocardiogram signals. 1-4 - Nathanael Fillmore, Ansh Mehta, Jeremy C. Weiss:
Bicluster phenotyping of healthcare providers, procedures, and prescriptions at scale with deep learning. 5-9 - Xiaojing Xu, Kenneth Craig, Damaris Diaz, Matthew S. Goodwin, Murat Akçakaya, Busra Susam, Jeannie Huang, Virginia R. de Sa:
Automated pain detection in facial videos of children using human-assisted transfer learning. 10-21 - Ferran Torrent-Fontbona, Joaquim Massana, Beatriz López:
Case-base maintenance of a personalized insulin dose recommender system for Type 1 Diabetes Mellitus. 22-32 - Clare E. Martin, Arantza Aldea, David Duce, Rachel Harrison, Marion Waite:
The role of usability engineering in the development of an intelligent decision support system. 33-36
Session 2: Data Science and Decision Systems for Health
- Muhammad Rafiq, George Keel, Pamela Mazzocato, Jonas Spaak, Carl Savage, Christian Guttmann:
Deep learning architectures for vector representations of patients and exploring predictors of 30-day hospital readmissions in patients with multiple chronic conditions. 37-48 - Yao Zhu, Xiaoliang Fan, Jinzhun Wu, Xiao Liu, Jia Shi, Cheng Wang:
Predicting ICU mortality by supervised bidirectional LSTM networks. 49-60 - Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Kay Cooper:
Matching networks for personalised human activity recognition. 61-64 - Jeff Druce, Max Metzger, Nidhi Gupta, Rishi Kundi:
Predicting observable and occult injuries in trauma patients from sparse measurements. 65-69 - Fernando Andreotti, Huy Phan, Maarten De Vos:
Visualising convolutional neural network decisions in automated sleep scoring. 70-81 - Charles Hamesse, Hedvig Kjellström, Paul Ackermann, Cheng Zhang:
Simultaneous measurement imputation and outcome prediction for Achilles tendon rupture rehabilitation. 82-86 - Stephanie L. Hyland, Matthias Hüser, Xinrui Lyu, Martin Faltys, Tobias Merz, Gunnar Rätsch:
Predicting circulatory system deterioration in intensive care unit patients. 87-92 - Marcel Gehrke, Tanya Braun, Ralf Möller, Alexander Waschkau, Christoph Strumann, Jost Steinhäuser:
Towards lifted maximum expected utility. 93-96
Session 3: Knowledge Management and Data Science for Health
- Ilyas Chaoua, Diego Reforgiato Recupero, Sergio Consoli, Aki Härmä, Rim Helaoui:
Detecting and tracking ongoing topics in psychotherapeutic conversations. 97-108 - Panayiotis Petousis, Simon X. Han, William Hsu, Alex A. T. Bui:
Generating reward functions using IRL towards individualized cancer screening. 109-120 - Michael Schnell, Sophie Couffignal, Jean Lieber, Stéphanie Saleh, Nicolas Jay:
Interpretation of best medical coding practices by case-based reasoning - A user assistance prototype for data collection for cancer registries. 121-124 - Isabel Chien, Alvin Shi, Alex Chan, Charlotta Lindvall:
Identification of serious illness conversations in unstructured clinical notes using deep neural networks. 125-139 - Henrique D. P. dos Santos, Rafael O. Nunes, João E. Soares, Renata Vieira:
MeSHx-Notes: web-system for clinical notes information extraction. 140-143 - Esteban Guerrero, Ming-Hsin Lu, Hsiu-Ping Yueh, Helena Lindgren:
Autonomous adaptation of software agents in the support of human activities. 144-156 - Martin Ingeson, Madeleine Blusi, Juan Carlos Nieves:
Smart augmented reality mHealth for medication adherence. 157-168 - Colja A. Becker, Fabian Lorig, Ingo J. Timm:
Survey of multiagent systems for improving home health care management. 169-180 - Bryan Wilder, Laura Onasch-Vera, Juliana Hudson, Jose Luna, Nicole Wilson, Robin Petering, Darlene Woo, Milind Tambe, Eric Rice:
End to end influence maximization for HIV prevention. 181-192 - Aki Härmä, Andrey Polyakov, Ekaterina Chernyak:
Active learning experiments for the classification of smoking tweets. 193-203 - Edward Raff, Shannon Lantzy, Ezekiel J. Maier:
Dr. AI, where did you get your degree? 204-207 - Xiaojing Xu, Busra Susam, Hooman Nezamfar, Kenneth Craig, Damaris Diaz, Jeannie Huang, Matthew S. Goodwin, Murat Akçakaya, Virginia R. de Sa:
Towards automated pain detection in children using facial and electrodermal activity. 208-211 - Steve Williams, John Mark Ware, Berndt Müller:
Preserving safety, privacy and mobility of persons living with Dementia by recognising uncharacteristic out-door movement using Recurrent Neural Networks with low computing capacity. 212-223
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