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ORCID20th AIME 2022: Halifax, NS, Canada
- Martin Michalowski
, Syed Sibte Raza Abidi, Samina Abidi:
Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Halifax, NS, Canada, June 14-17, 2022, Proceedings. Lecture Notes in Computer Science 13263, Springer 2022, ISBN 978-3-031-09341-8
Knowledge-Based Systems
- William Van Woensel, Samina Abidi, Karthik K. Tennankore, George Worthen, Syed Sibte Raza Abidi:
Explainable Decision Support Using Task Network Models in Notation3: Computerizing Lipid Management Clinical Guidelines as Interactive Task Networks. 3-13 - Malvika Rao, Martin Michalowski, Szymon Wilk, Wojtek Michalowski, Amanda Jane Coles, Marc Carrier:
Towards an AI Planning-Based Pipeline for the Management of Multimorbid Patients. 14-23 - Ali Daowd, Samina Abidi, Syed Sibte Raza Abidi:
A Knowledge Graph Completion Method Applied to Literature-Based Discovery for Predicting Missing Links Targeting Cancer Drug Repurposing. 24-34 - David Riaño, José Ramón Alonso, Spela Pecnik, Aida Kamisalic:
An Ontology to Support Automatic Drug Dose Titration. 35-46 - Thibaut Pressat Laffouilhère, Julien Grosjean, Jean Pinson, Stéfan Jacques Darmoni, Emilie Leveque, Emilie Lanoy, Jacques Benichou, Lina Fatima Soualmia:
Ontological Representation of Causal Relations for a Deep Understanding of Associations Between Variables in Epidemiology. 47-56 - William Van Woensel, Floriano Scioscia, Giuseppe Loseto, Oshani Seneviratne, Evan W. Patton, Samina Abidi, Lalana Kagal:
Explainable Clinical Decision Support: Towards Patient-Facing Explanations for Education and Long-Term Behavior Change. 57-62
Machine Learning
- Kathryn Young-Shand, Patrice C. Roy, Michael Dunbar, Syed Sibte Raza Abidi, Janie Wilson:
Assessing Knee Osteoarthritis Severity and Biomechanical Changes After Total Knee Arthroplasty Using Self-organizing Maps. 65-75 - Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh:
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization. 76-87 - Jaber Rad, Karthik K. Tennankore, Amanda Vinson, Syed Sibte Raza Abidi:
Extracting Surrogate Decision Trees from Black-Box Models to Explain the Temporal Importance of Clinical Features in Predicting Kidney Graft Survival. 88-98 - Alexander Katrompas, Theodoros Ntakouris, Vangelis Metsis:
Recurrence and Self-attention vs the Transformer for Time-Series Classification: A Comparative Study. 99-109 - Kashaf Masood, Rasha F. Kashef:
Integrating Graph Convolutional Networks (GCNNs) and Long Short-Term Memory (LSTM) for Efficient Diagnosis of Autism. 110-121 - Salim Malakouti, Milos Hauskrecht:
Hierarchical Deep Multi-task Learning for Classification of Patient Diagnoses. 122-132 - Xiaomin Li, Vangelis Metsis, Huangyingrui Wang, Anne Hee Hiong Ngu:
TTS-GAN: A Transformer-Based Time-Series Generative Adversarial Network. 133-143 - Miguel Matey-Sanz, Alberto González-Pérez, Sven Casteleyn, Carlos Granell:
Instrumented Timed Up and Go Test Using Inertial Sensors from Consumer Wearable Devices. 144-154 - Jeongmin Lee, Milos Hauskrecht:
Learning to Adapt Dynamic Clinical Event Sequences with Residual Mixture of Experts. 155-166 - Tomer Hermelin, Pierre Singer, Nadav Rappoport:
Improving Prediction Models' Propriety in Intensive-Care Unit, by Enforcing an Advance Notice Period. 167-177 - Mei Ling Fang, Devendra Singh Dhami, Kristian Kersting:
DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs. 178-188 - Maria Bampa, Tobias Fasth, Sindri Magnússon, Panagiotis Papapetrou:
EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning. 189-199 - Noor Jamaludeen, Vishnu Unnikrishnan, André Brechmann, Myra Spiliopoulou:
Discovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data. 200-209 - Gerta Salillari, Nadav Rappoport:
Comparison of Classification with Reject Option Approaches on MIMIC-IV Dataset. 210-219 - Jonathan Jalbert, Héloïse Cardinal, Andrea Lodi, Jean-Noël Weller, Hugo-Maxime Tocco:
Predicting Waiting Time and Quality of Kidney Offers for Kidney Transplant Candidates. 220-229 - Yuyue Zhou, Abhilash Rakkunedeth, Christopher Keen, Jessica Knight, Jacob L. Jaremko:
Wrist Ultrasound Segmentation by Deep Learning. 230-237 - Erdi Gao, Goce Ristanoski, Uwe Aickelin, David Berlowitz, Mark Howard:
Early Detection and Classification of Patient-Ventilator Asynchrony Using Machine Learning. 238-248 - Sohrab Ferdowsi, Jenny Copara, Racha Gouareb, Nikolay Borissov, Fernando Jaume-Santero, Poorya Amini, Douglas Teodoro:
On Graph Construction for Classification of Clinical Trials Protocols Using Graph Neural Networks. 249-259
Medical Image Processing
- Mark Eastwood, Silviu Tudor Marc, Xiaohong W. Gao, Heba Sailem, Judith Offman, Emmanouil Karteris, Angeles Montero Fernandez, Danny Jonigk, William Cookson, Miriam Moffatt, Sanjay Popat, Fayyaz A. Minhas, Jan Lukas Robertus:
Malignant Mesothelioma Subtyping of Tissue Images via Sampling Driven Multiple Instance Prediction. 263-272 - Jerry W. Wei, Lorenzo Torresani, Jason Wei, Saeed Hassanpour:
Calibrating Histopathology Image Classifiers Using Label Smoothing. 273-282 - Trupti R. Chavan, Kalpesh Prajapati, Kameshwar Rao JV:
InvUNET: Involuted UNET for Breast Tumor Segmentation from Ultrasound. 283-290 - Andrea De Gobbis, Aleksander Sadikov, Vida Groznik:
MRI Reconstruction with LassoNet and Compressed Sensing. 291-295
Predictive Modeling
- Beatrice Amico, Carlo Combi:
A 3-Window Framework for the Discovery and Interpretation of Predictive Temporal Functional Dependencies. 299-309 - Miro Schleicher, Rüdiger Pryss, Winfried Schlee, Myra Spiliopoulou:
When Can I Expect the mHealth User to Return? Prediction Meets Time Series with Gaps. 310-320 - Ruolin Wang, Jingming Liu, Zheng Chen, Minghui Gong, Chunping Li, Wei Guo:
The Transition Law of Sepsis Patients' Illness States Based on Complex Network. 321-331 - Mario Martínez-García, Susana García-Gutierrez, Rubén Armañanzas, Adrián Díaz, Iñaki Inza, José Antonio Lozano:
Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization. 332-342 - Malgorzata Kretowska:
Oblique Dipolar Tree for Survival Data with Time-Varying Covariates. 343-352 - Michael A. Skinner, Priscilla Yu, Lakshmi Raman, Sriraam Natarajan:
An Anytime Querying Algorithm for Predicting Cardiac Arrest in Children: Work-in-Progress. 353-357 - Michela Venturini, Ingrid Van Keilegom, Wouter De Corte, Celine Vens:
A Novel Survival Analysis Approach to Predict the Need for Intubation in Intensive Care Units. 358-364 - Marta Malavolta, Emiliano Trimarco, Vida Groznik, Aleksander Sadikov:
Awareness of Being Tested and Its Effect on Reading Behaviour. 365-370
Natural Language Processing
- Primoz Kocbek, Lucija Gosak, Kasandra Musovic, Gregor Stiglic:
Generating Extremely Short Summaries from the Scientific Literature to Support Decisions in Primary Healthcare: A Human Evaluation Study. 373-382 - Pavel Blinov, Arina Reshetnikova, Aleksandr Nesterov, Galina Zubkova, Vladimir Kokh:
RuMedBench: A Russian Medical Language Understanding Benchmark. 383-392 - Klaudia Kantor, Mikolaj Morzy:
Biomedical Semantic Textual Similarity: Evaluation of Sentence Representations Enhanced with Principal Component Reduction and Word Frequency Weighting - Student Paper Submission. 393-403
Demonstration Papers
- Manan Shukla, Jianjing Lin, Oshani Seneviratne:
Blockchain and IoT Enhanced Clinical Workflow. 407-411 - Enea Parimbelli, Cristiana Larizza, Vladimir Urosevic, Andrea Pogliaghi, Manuel Ottaviano, Cindy Cheng, Vincent Benoit, Daniele Pala, Vittorio Casella, Riccardo Bellazzi, Paolo Giudici:
The PERISCOPE Data Atlas: A Demonstration of Release v1.2. 412-415 - Lubomir Antoni, Erik Bruoth, Peter Bugata, Peter Bugata Jr., Dávid Gajdos, Simon Horvát, Dávid Hudák, Vladimíra Kmecová, Richard Stana, Monika Stanková, Alexander Szabari, Gabriela Vozáriková:
Cordelia: An Application for Automatic ECG Diagnostics. 416-420 - William Van Woensel, Samina Abidi, Karthik K. Tennankore, George Worthen, Syed Sibte Raza Abidi:
Clinical Guidelines as Executable and Interactive Workflows with FHIR-Compliant Health Data Input Using GLEAN. 421-425 - Alexandra Kogan, Mor Peleg, Samson W. Tu, Raviv Allon, Natanel Khaitov, Irit Hochberg:
A Goal-Oriented Methodology for Treatment of Patients with Multimorbidity - Goal Comorbidities (GoCom) Proof-of-Concept Demonstration. 426-430 - Evan W. Patton, William Van Woensel, Oshani Seneviratne, Giuseppe Loseto, Floriano Scioscia, Lalana Kagal:
Development of AI-Enabled Apps by Patients and Domain Experts Using the Punya Platform: A Case Study for Diabetes. 431-435 - Jaber Rad, Jason G. Quinn, Calvino Cheng, Samina Raza Abidi, Robert Liwski, Syed Sibte Raza Abidi:
Using Visual Analytics to Optimize Blood Product Inventory at a Hospital's Blood Transfusion Service. 436-440
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