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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 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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