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Artificial Intelligence in Medicine

20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Halifax, NS, Canada, June 14–17, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Martin Michalowski

    1. University of Minnesota, Minneapolis, USA

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  2. Syed Sibte Raza Abidi

    1. Dalhousie University, Halifax, Canada

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  3. Samina Abidi

    1. Dalhousie University, Halifax, Canada

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13263)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: AIME 2022.

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About this book

This book constitutes the refereed proceedings of the 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, held in Halifax, NS, Canada, in June 2022.

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.

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Table of contents (46 papers)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. Knowledge-Based Systems

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. 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

    3. 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

    4. 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

    5. An Ontology to Support Automatic Drug Dose Titration

      • David Riaño, José-Ramon Alonso, Špela Pečnik, Aida Kamišalić
      Pages 35-46

    6. 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

    7. 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

  3. Machine Learning

    1. Front Matter

      Pages 63-63
      Download chapter PDF

    2. 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

    3. 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

    4. 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

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

      • Alexander Katrompas, Theodoros Ntakouris, Vangelis Metsis
      Pages 99-109

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

      • Kashaf Masood, Rasha Kashef
      Pages 110-121

    7. Hierarchical Deep Multi-task Learning for Classification of Patient Diagnoses

      • Salim Malakouti, Milos Hauskrecht
      Pages 122-132

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

      • Xiaomin Li, Vangelis Metsis, Huangyingrui Wang, Anne Hee Hiong Ngu
      Pages 133-143

    9. 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

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

      • Jeong Min Lee, Milos Hauskrecht
      Pages 155-166

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

      • Tomer Hermelin, Pierre Singer, Nadav Rappoport
      Pages 167-177

    12. DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs

      • Mei Ling Fang, Devendra Singh Dhami, Kristian Kersting
      Pages 178-188
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Other volumes

  1. Artificial Intelligence in Medicine

Editors and Affiliations

  • University of Minnesota, Minneapolis, USA

    Martin Michalowski

  • Dalhousie University, Halifax, Canada

    Syed Sibte Raza Abidi, Samina Abidi

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