KDH@IJCAI 2023
Knowledge Discovery from Healthcare Data 2023

Table of Contents

• Front Matter
  
• Preface
  Summary: There were 20 papers submitted for peer-review to this workshop. Out of these, 7 papers were accepted for this volume, 5 as regular papers and 2 as short papers.

Workshop Papers

• Anderson Acceleration for Bioinformatics-Based Machine Learning
  Sarwan Ali, Prakash Chourasia, Murray Patterson
• Comparator Model for Detecting Changes in the Ease of Breathing of COPD Patients
  Thomas T. Kok, Willemijn Groenendaal, Dolores Blanco-Almazán, Lien Lijnen, Christophe Smeets, David Ruttens, John Morales, Tom Dhaene, Femke Ongenae, Sofie Van Hoecke, Dirk Deschrijver
• Learning How To Augment Data: An Application To Biomedical NER
  Vincenzo Moscato, Marco Postiglione, Guido Secondulfo, Giancarlo Sperlí, Andrea Vignali
• Addressing Class Imbalance in Electronic Health Records Data Imputation
  Linglong Qian, Zina Ibrahim, Ao Zhang, Richard Dobson
• PhyloTransformer: A Self-supervised Discriminative Model for SARS-CoV-2 Viral Mutation Prediction Based on a Multi-head Self-attention Mechanism
  Yingying Wu, Shusheng Xu, Shing-Tung Yau, Yi Wu
• Developing a Fair AI-based Healthcare Framework with Feedback Loop
  Vithya Yogarajan, Gillian Dobbie, Sharon Leitch, David Reith
• Joint Entity and Relation Extraction in Medical Text
  Leo Xinyue Zhang, Angus Roberts, Sebastian Zeki