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17th AIME 2019: Poznan, Poland
- David Riaño, Szymon Wilk, Annette ten Teije
:
Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26-29, 2019, Proceedings. Lecture Notes in Computer Science 11526, Springer 2019, ISBN 978-3-030-21641-2
Invited Speakers
- Anthony Chang:
Common Misconceptions and Future Directions for AI in Medicine: A Physician-Data Scientist Perspective. 3-6 - Ivana Bartoletti:
AI in Healthcare: Ethical and Privacy Challenges. 7-10
Deep Learning
- Jeongmin Lee
, Milos Hauskrecht:
Recent Context-Aware LSTM for Clinical Event Time-Series Prediction. 13-23 - Ying-Feng Hsu
, Makiko Ito, Takumi Maruyama, Morito Matsuoka, Nicolas Jung, Yuki Matsumoto, Daisuke Motooka, Shota Nakamura
:
Deep Learning Approach for Pathogen Detection Through Shotgun Metagenomics Sequence Classification. 24-30 - Tomasz Grzywalski
, Riccardo Belluzzo, Mateusz Piecuch, Marcin Szajek, Anna Breborowicz, Anna Pastusiak, Honorata Hafke-Dys
, Jedrzej Kocinski:
Fully Interactive Lungs Auscultation with AI Enabled Digital Stethoscope. 31-35 - Francisco Luna-Perejón
, Javier Civit-Masot
, Isabel Amaya-Rodriguez, Lourdes Duran-Lopez, Juan Pedro Dominguez-Morales
, Antón Civit Balcells, Alejandro Linares-Barranco:
An Automated Fall Detection System Using Recurrent Neural Networks. 36-41 - Giovanna Nicora
, Simone Marini
, Ivan Limongelli
, Ettore Rizzo, Stefano Montoli, Francesca Floriana Tricomi
, Riccardo Bellazzi
:
A Semi-supervised Learning Approach for Pan-Cancer Somatic Genomic Variant Classification. 42-46 - Subhrajit Roy
, Isabell Kiral-Kornek
, Stefan Harrer
:
ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification. 47-56 - Xiaoying Tan, Gerd Reis, Didier Stricker
:
Convolutional Recurrent Neural Network for Bubble Detection in a Portable Continuous Bladder Irrigation Monitor. 57-66 - Rami Ben-Ari, Yoel Shoshan, Tal Tlusty:
Mammogram Classification with Ordered Loss. 67-76
Simulation
- Daniele Pala, John H. Holmes, José Pagán, Enea Parimbelli, Marica Teresa Rocca, Vittorio Casella
, Riccardo Bellazzi
:
Agent-Based Models and Spatial Enablement: A Simulation Tool to Improve Health and Wellbeing in Big Cities. 79-83 - Camilo Cáceres
, João Maurício Rosário
, Dario Amaya
:
Towards Health 4.0: e-Hospital Proposal Based Industry 4.0 and Artificial Intelligence Concepts. 84-89
Knowledge Representation
- Martin Michalowski
, Szymon Wilk, Wojtek Michalowski
, Marc Carrier:
MitPlan: A Planning Approach to Mitigating Concurrently Applied Clinical Practice Guidelines. 93-103 - Hassan Ismail Fawaz, Germain Forestier
, Jonathan Weber, François Petitjean, Lhassane Idoumghar, Pierre-Alain Muller:
Automatic Alignment of Surgical Videos Using Kinematic Data. 104-113 - Giovanna Nicora
, Ivan Limongelli
, Riccardo Cova, Matteo Giovanni Della Porta
, Luca Malcovati
, Mario Cazzola, Riccardo Bellazzi
:
A Rule-Based Expert System for Automatic Implementation of Somatic Variant Clinical Interpretation Guidelines. 114-119 - Paolo Terenziani
, Antonella Andolina:
Considering Temporal Preferences and Probabilities in Guideline Interaction Analysis. 120-124 - Seyedsalim Malakouti, Milos Hauskrecht:
Predicting Patient's Diagnoses and Diagnostic Categories from Clinical-Events in EHR Data. 125-130 - Maciej Piernik, Joanna Solomiewicz, Arkadiusz Jachnik:
Assessing the Effectiveness of Sequences of Treatments Using Sequential Patterns. 131-135
Probabilistic Models
- Jidapa Kraisangka, Marek J. Druzdzel, Lisa C. Lohmueller, Manreet K. Kanwar
, James F. Antaki, Raymond L. Benza:
Bayesian Network vs. Cox's Proportional Hazard Model of PAH Risk: A Comparison. 139-149 - David Cuadrado
, David Riaño
, Josep Gómez
, María Bodí, Gonzalo Sirgo, Federico Esteban, Rafael García, Alejandro Rodríguez
:
Pursuing Optimal Prediction of Discharge Time in ICUs with Machine Learning Methods. 150-154 - Elisa Salvi, Enea Parimbelli, Lucia Sacchi
, Silvana Quaglini, Erika Maggi, Lorry Duchoud, Gian Luca Armas, John De Almeida, Christian Simon:
Towards the Economic Evaluation of Two Mini-invasive Surgical Techniques for Head&Neck Cancer: A Customizable Model for Different Populations. 155-159 - Negar Safinianaini, Henrik Boström, Viktor Kaldo:
Gated Hidden Markov Models for Early Prediction of Outcome of Internet-Based Cognitive Behavioral Therapy. 160-169 - Marcos L. P. Bueno, Arjen Hommersom
, Peter J. F. Lucas, Joost G. E. Janzing:
A Data-Driven Exploration of Hypotheses on Disease Dynamics. 170-179 - Agastya Silvina, Juliana Bowles
, Peter S. Hall
:
On Predicting the Outcomes of Chemotherapy Treatments in Breast Cancer. 180-190 - Harry Freitas Da Cruz, Boris Pfahringer, Frederic Schneider, Alexander Meyer, Matthieu-P. Schapranow
:
External Validation of a "Black-Box" Clinical Predictive Model in Nephrology: Can Interpretability Methods Help Illuminate Performance Differences? 191-201
Behavior Monitoring
- Emre Besler, Yearnchee Curtis Wang, Terence Chan, Alan Varteres Sahakian
:
Classifying Small Volumes of Tissue for Real-Time Monitoring Radiofrequency Ablation. 205-215 - Patrice C. Roy, William Van Woensel, Andrew Wilcox, Syed Sibte Raza Abidi
:
Mobile Indoor Localization with Bluetooth Beacons in a Pediatric Emergency Department Using Clustering, Rule-Based Classification and High-Level Heuristics. 216-226 - Elisa Salvi, Silvia Panzarasa, Riccardo Bagarotti, Michela Picardi
, Rosangela Boninsegna, Irma Sterpi, Massimo Corbo
, Giordano Lanzola, Silvana Quaglini, Lucia Sacchi
:
NONCADO: A System to Prevent Falls by Encouraging Healthy Habits in Elderly People. 227-232 - Yan Zheng, Paolo Fraccaro, Niels Peek:
The Minimum Sampling Rate and Sampling Duration When Applying Geolocation Data Technology to Human Activity Monitoring. 233-238
Clustering, Natural Language Processing, and Decision Support
- Syed Sibte Raza Abidi
, Jaber Rad
, Ashraf Abusharekh, Patrice C. Roy, William Van Woensel, Samina Raza Abidi
, Calvino Cheng, Bryan Crocker, Manal Elnenaei
:
AI-Driven Pathology Laboratory Utilization Management via Data- and Knowledge-Based Analytics. 241-251 - Vincent Jorn Menger
, Marco Spruit
, Wouter van der Klift, Floor Scheepers:
Using Cluster Ensembles to Identify Psychiatric Patient Subgroups. 252-262 - Anita Valmarska, Dragana Miljkovic, Marko Robnik-Sikonja, Nada Lavrac:
Connection Between the Parkinson's Disease Subtypes and Patients' Symptoms Progression. 263-268 - Antonio López Martínez-Carrasco
, Jose M. Juarez, Manuel Campos
, Antonio Morales Nicolás
, Francisco Palacios, Lucía López-Rodríguez:
Interpretable Patient Subgrouping Using Trace-Based Clustering. 269-274 - Tsanta Randriatsitohaina, Thierry Hamon
:
Extracting Food-Drug Interactions from Scientific Literature: Tackling Unspecified Relation. 275-280 - Sandhya Prabhakaran, Julia E. Vogt
:
Bayesian Clustering for HIV1 Protease Inhibitor Contact Maps. 281-285 - Gilles Vandewiele
, Isabelle Dehaene
, Olivier Janssens, Femke Ongenae, Femke De Backere
, Filip De Turck
, Kristien Roelens, Sofie Van Hoecke, Thomas Demeester
:
Time-to-Birth Prediction Models and the Influence of Expert Opinions. 286-291 - Mariana R. Neves, D. William R. Marsh
:
Modelling the Impact of AI for Clinical Decision Support. 292-297 - Natalia Viani
, Rashmi Patel
, Robert Stewart
, Sumithra Velupillai
:
Generating Positive Psychosis Symptom Keywords from Electronic Health Records. 298-303 - Vaishnavi Ameya Murukutla
, Elie Cattan, Olivier Palombi, Rémi Ronfard
:
Text-to-Movie Authoring of Anatomy Lessons. 304-308
Feature Selection
- Christopher L. Bartlett, Stephen J. Glatt, Isabelle Bichindaritz:
Machine Learning and Feature Selection for the Classification of Mental Disorders from Methylation Data. 311-321 - Chirath Hettiarachchi
, Charith Chitraranjan:
A Machine Learning Approach to Predict Diabetes Using Short Recorded Photoplethysmography and Physiological Characteristics. 322-327 - Josephine French, Cong Chen, Katherine Henson, Brian Shand, Patrick Ferris, Josh Pencheon, Sally Vernon, Meena Rafiq, David Howe
, Georgios Lyratzopoulos, Jem Rashbass:
Identification of Patient Prescribing Predicting Cancer Diagnosis Using Boosted Decision Trees. 328-333
Image Processing
- Carlos González, Pedro Bibiloni, Manuel González Hidalgo
, Arnau Mir
, Sebastià Rubí:
Automatic Image-Derived Estimation of the Arterial Whole-Blood Input Function from Dynamic Cerebral PET with ^18 F-Choline. 337-346 - Md. Abu Sayed
, Sajib Saha, G. M. Atiqur Rahaman
, Tanmai K. Ghosh, Yogesan Kanagasingam:
A Semi-supervised Approach to Segment Retinal Blood Vessels in Color Fundus Photographs. 347-351
General Machine Learning
- Gilles Vandewiele
, Isabelle Dehaene
, Olivier Janssens, Femke Ongenae, Femke De Backere
, Filip De Turck
, Kristien Roelens, Sofie Van Hoecke, Thomas Demeester
:
A Critical Look at Studies Applying Over-Sampling on the TPEHGDB Dataset. 355-364 - Chiara Picardi, Ibrahim Habli:
Perspectives on Assurance Case Development for Retinal Disease Diagnosis Using Deep Learning. 365-370 - Ananya Rajagopalan, Marcus Vollmer
:
Rapid Detection of Heart Rate Fragmentation and Cardiac Arrhythmias: Cycle-by-Cycle rr Analysis, Supervised Machine Learning Model and Novel Insights. 371-375 - Linda Lapp
, Matt-Mouley Bouamrane
, Kimberley Kavanagh
, Marc Roper
, David Young
, Stefan Schraag
:
Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery. 376-385 - Matteo Mantovani
, Carlo Combi, Milos Hauskrecht:
Mining Compact Predictive Pattern Sets Using Classification Model. 386-396
Unsupervised Learning
- Arianna Dagliati
, Nophar Geifman
, Niels Peek, John H. Holmes, Lucia Sacchi
, Seyed Erfan Sajjadi, Allan Tucker:
Inferring Temporal Phenotypes with Topological Data Analysis and Pseudo Time-Series. 399-409 - Luca Corinzia, Jesse Provost, Alessandro Candreva
, Maurizio Tamarasso, Francesco Maisano
, Joachim M. Buhmann:
Unsupervised Mitral Valve Segmentation in Echocardiography with Neural Network Matrix Factorization. 410-419 - Teodora Matic, Somayeh Aghanavesi, Mevludin Memedi, Dag Nyholm
, Filip Bergquist, Vida Groznik
, Jure Zabkar, Aleksander Sadikov:
Unsupervised Learning from Motion Sensor Data to Assess the Condition of Patients with Parkinson's Disease. 420-424

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