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Artificial Intelligence in Medicine: 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Halifax, NS, Canada, June 14–17, … (Lecture Notes in Artificial Intelligence) 1st ed. 2022 Edition

The 39 full papers presented together with 7 short papers were selected from 113 submissions. The papers are grouped in topical sections on knowledge-based system; machine learning; medical image proc…

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The 39 full papers presented together with 7 short papers were selected from 113 submissions. The papers are grouped in topical sections on knowledge-based system; machine learning; medical image processing; predictive modeling; natural language processing.

Table of contents (46 papers)

Front Matter

Pages i-xx

Knowledge-Based Systems

Front Matter

Pages 1-1

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Explainable Decision Support Using Task Network Models in Notation3: Computerizing Lipid Management Clinical Guidelines as Interactive Task Networks

William Van Woensel, Samina Abidi, Karthik Tennankore, George Worthen, Syed Sibte Raza Abidi

Pages 3-13

Towards an AI Planning-Based Pipeline for the Management of Multimorbid Patients

Malvika Rao, Martin Michalowski, Szymon Wilk, Wojtek Michalowski, Amanda Coles, Marc Carrier

Pages 14-23

A Knowledge Graph Completion Method Applied to Literature-Based Discovery for Predicting Missing Links Targeting Cancer Drug Repurposing

Ali Daowd, Samina Abidi, Syed Sibte Raza Abidi

Pages 24-34

An Ontology to Support Automatic Drug Dose Titration

David Riaño, José-Ramon Alonso, Špela Pečnik, Aida Kamišalić

Pages 35-46

Ontological Representation of Causal Relations for a Deep Understanding of Associations Between Variables in Epidemiology

Thibaut Pressat Laffouilhère, Julien Grosjean, Jean Pinson, Stéfan J. Darmoni, Emilie Leveque, Emilie Lanoy et al.

Pages 47-56

Explainable Clinical Decision Support: Towards Patient-Facing Explanations for Education and Long-Term Behavior Change

William Van Woensel, Floriano Scioscia, Giuseppe Loseto, Oshani Seneviratne, Evan Patton, Samina Abidi et al.

Pages 57-62

Machine Learning

Front Matter

Pages 63-63

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Assessing Knee Osteoarthritis Severity and Biomechanical Changes After Total Knee Arthroplasty Using Self-organizing Maps

Kathryn Young-Shand, Patrice Roy, Michael Dunbar, Syed Sibte Raza Abidi, Janie Wilson

Pages 65-75

NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization

Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov, Artem Shelmanov, Galina Zubkova, Vladimir Kokh

Pages 76-87

Extracting Surrogate Decision Trees from Black-Box Models to Explain the Temporal Importance of Clinical Features in Predicting Kidney Graft Survival

Jaber Rad, Karthik K. Tennankore, Amanda Vinson, Syed Sibte Raza Abidi

Pages 88-98

Recurrence and Self-attention vs the Transformer for Time-Series Classification: A Comparative Study

Alexander Katrompas, Theodoros Ntakouris, Vangelis Metsis

Pages 99-109

Integrating Graph Convolutional Networks (GCNNs) and Long Short-Term Memory (LSTM) for Efficient Diagnosis of Autism

Kashaf Masood, Rasha Kashef

Pages 110-121

Hierarchical Deep Multi-task Learning for Classification of Patient Diagnoses

Salim Malakouti, Milos Hauskrecht

Pages 122-132

TTS-GAN: A Transformer-Based Time-Series Generative Adversarial Network

Xiaomin Li, Vangelis Metsis, Huangyingrui Wang, Anne Hee Hiong Ngu

Pages 133-143

Instrumented Timed Up and Go Test Using Inertial Sensors from Consumer Wearable Devices

Miguel Matey-Sanz, Alberto González-Pérez, Sven Casteleyn, Carlos Granell

Pages 144-154

Learning to Adapt Dynamic Clinical Event Sequences with Residual Mixture of Experts

Jeong Min Lee, Milos Hauskrecht

Pages 155-166

Improving Prediction Models’ Propriety in Intensive-Care Unit, by Enforcing an Advance Notice Period

Tomer Hermelin, Pierre Singer, Nadav Rappoport

Pages 167-177

DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs

Mei Ling Fang, Devendra Singh Dhami, Kristian Kersting

Pages 178-188

 

Machine Learning

EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning

Maria Bampa, Tobias Fasth, Sindri Magnusson, Panagiotis Papapetrou

Pages 189-199

Discovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data

Noor Jamaludeen, Vishnu Unnikrishnan, André Brechmann, Myra Spiliopoulou

Pages 200-209

Comparison of Classification with Reject Option Approaches on MIMIC-IV Dataset

Gerta Salillari, Nadav Rappoport

Pages 210-219

Predicting Waiting Time and Quality of Kidney Offers for Kidney Transplant Candidates

Jonathan Jalbert, Héloïse Cardinal, Andrea Lodi, Jean-Noël Weller, Hugo-Maxime Tocco

Pages 220-229

Wrist Ultrasound Segmentation by Deep Learning

Yuyue Zhou, Abhilash Rakkunedeth, Christopher Keen, Jessica Knight, Jacob L. Jaremko

Pages 230-237

Early Detection and Classification of Patient-Ventilator Asynchrony Using Machine Learning

Erdi Gao, Goce Ristanoski, Uwe Aickelin, David Berlowitz, Mark Howard

Pages 238-248

On Graph Construction for Classification of Clinical Trials Protocols Using Graph Neural Networks

Sohrab Ferdowsi, Jenny Copara, Racha Gouareb, Nikolay Borissov, Fernando Jaume-Santero, Poorya Amini et al.

Pages 249-259

Medical Image Processing

Front Matter

Pages 261-261

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Malignant Mesothelioma Subtyping of Tissue Images via Sampling Driven Multiple Instance Prediction

Mark Eastwood, Silviu Tudor Marc, Xiaohong Gao, Heba Sailem, Judith Offman, Emmanouil Karteris et al.

Pages 263-272

Calibrating Histopathology Image Classifiers Using Label Smoothing

Jerry Wei, Lorenzo Torresani, Jason Wei, Saeed Hassanpour

Pages 273-282

InvUNET: Involuted UNET for Breast Tumor Segmentation from Ultrasound

Trupti Chavan, Kalpesh Prajapati, Kameshwar Rao JV

Pages 283-290

MRI Reconstruction with LassoNet and Compressed Sensing

Andrea De Gobbis, Aleksander Sadikov, Vida Groznik

Pages 291-295

Predictive Modeling

Front Matter

Pages 297-297

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A 3-Window Framework for the Discovery and Interpretation of Predictive Temporal Functional Dependencies

Beatrice Amico, Carlo Combi

Pages 299-309

When Can I Expect the mHealth User to Return? Prediction Meets Time Series with Gaps

Miro Schleicher, Rüdiger Pryss, Winfried Schlee, Myra Spiliopoulou

Pages 310-320

The Transition Law of Sepsis Patients’ Illness States Based on Complex Network

Ruolin Wang, Jingming Liu, Zheng Chen, Minghui Gong, Chunping Li, Wei Guo

Pages 321-331

Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization

Mario Martínez-García, Susana García-Gutierrez, Rubén Armañanzas, Adrián Díaz, Iñaki Inza, Jose A. Lozano

Pages 332-342

Oblique Dipolar Tree for Survival Data with Time-Varying Covariates

Malgorzata Kretowska

Pages 343-352

An Anytime Querying Algorithm for Predicting Cardiac Arrest in Children: Work-in-Progress

Michael A. Skinner, Priscilla Yu, Lakshmi Raman, Sriraam Natarajan

Pages 353-357

A Novel Survival Analysis Approach to Predict the Need for Intubation in Intensive Care Units

Michela Venturini, Ingrid Van Keilegom, Wouter De Corte, Celine Vens

Pages 358-364

 

Predictive Modeling

Awareness of Being Tested and Its Effect on Reading Behaviour

Marta Malavolta, Emiliano Trimarco, Vida Groznik, Aleksander Sadikov

Pages 365-370

Natural Language Processing

Front Matter

Pages 371-371

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Generating Extremely Short Summaries from the Scientific Literature to Support Decisions in Primary Healthcare: A Human Evaluation Study

Primoz Kocbek, Lucija Gosak, Kasandra Musović, Gregor Stiglic

Pages 373-382

RuMedBench: A Russian Medical Language Understanding Benchmark

Pavel Blinov, Arina Reshetnikova, Aleksandr Nesterov, Galina Zubkova, Vladimir Kokh

Pages 383-392

Biomedical Semantic Textual Similarity: Evaluation of Sentence Representations Enhanced with Principal Component Reduction and Word Frequency Weighting

Klaudia Kantor, Mikołaj Morzy

Pages 393-403

Demonstration Papers

Front Matter

Pages 405-405

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Blockchain and IoT Enhanced Clinical Workflow

Manan Shukla, Jianjing Lin, Oshani Seneviratne

Pages 407-411

The PERISCOPE Data Atlas: A Demonstration of Release v1.2

Enea Parimbelli, Cristiana Larizza, Vladimir Urosevic, Andrea Pogliaghi, Manuel Ottaviano, Cindy Cheng et al.

Pages 412-415

Cordelia: An Application for Automatic ECG Diagnostics

Lubomir Antoni, Erik Bruoth, Peter Bugata, Peter Bugata Jr., Dávid Gajdoš, Šimon Horvát et al.

Pages 416-420

Clinical Guidelines as Executable and Interactive Workflows with FHIR-Compliant Health Data Input Using GLEAN

William Van Woensel, Samina Abidi, Karthik Tennankore, George Worthen, Syed Sibte Raza Abidi

Pages 421-425

A Goal-Oriented Methodology for Treatment of Patients with Multimorbidity – Goal Comorbidities (GoCom) Proof-of-Concept Demonstration

Alexandra Kogan, Mor Peleg, Samson W. Tu, Raviv Allon, Natanel Khaitov, Irit Hochberg

Pages 426-430

Development of AI-Enabled Apps by Patients and Domain Experts Using the Punya Platform: A Case Study for Diabetes

Evan Patton, William Van Woensel, Oshani Seneviratne, Giuseppe Loseto, Floriano Scioscia, Lalana Kagal

Pages 431-435

Using Visual Analytics to Optimize Blood Product Inventory at a Hospital’s Blood Transfusion Service

Jaber Rad, Jason Quinn, Calvino Cheng, Samina Raza Abidi, Robert Liwski, Syed Sibte Raza Abidi

Pages 436-440

Back Matter

Pages 441-456

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Artificial Intelligence in Medicine: 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Halifax, NS, Canada, June 14–17, ... (Lecture Notes in Artificial Intelligence) 1st ed. 2022 EditionArtificial Intelligence in Medicine: 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Halifax, NS, Canada, June 14–17, … (Lecture Notes in Artificial Intelligence) 1st ed. 2022 Edition
Original price was: $128.00.Current price is: $29.00.
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