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Proceedings of the 6th International workshop on knowledge discovery from healthcare data (KDH@IJCAI 2023)

Contributors

Zina Ibrahim
Editor

Honghan Wu
Editor

Abstract

This workshop is centred around novel AI methodologies that aim to solve some of the grand challenges associated with medical data. Held in conjunction with the International Joint Conference on Artificial Intelligence (IJCAI 2023), this year's workshop continues the successful KDH series from 2016 to 2022 and builds on this year's IJCAI theme of "AI for Good". The workshop received 20 submissions, all of which underwent peer review by members of our program committee. Following the review phase, 5 long papers and 2 short papers were selected for presentation during the workshop. Within the accepted papers, the workshop addresses topics in AI ethics, robustness, interpretability and fairness. These themes are covered across various domains, including disease-specific prognosis, natural language processing, data mining and time-series analysis.

Citation

IBRAHIM, Z., WU, H. and WIRATUNGA, N. (eds.) 2023. Proceedings of the 6th International workshop on knowledge discovery from healthcare data (KDH@IJCAI 2023), co-located with the 32nd International joint conference on artificial intelligence (IJCAI 2023), 20 August 2023, Macao, China. CEUR workshop proceedings, 3479. Aachen: CEUR-WS [online]. Available from: https://ceur-ws.org/Vol-3479/

Conference Name 6th International workshop on knowledge discovery from healthcare data (KDH@IJCAI 2023), co-located with the 32nd International joint conference on artificial intelligence (IJCAI 2023)
Conference Location Macao, China
Start Date Aug 20, 2023
Acceptance Date Aug 27, 2023
Online Publication Date Sep 10, 2023
Publication Date Sep 10, 2023
Deposit Date Mar 5, 2024
Publicly Available Date Mar 5, 2024
Publisher CEUR Workshop Proceedings
Series Title CEUR workshop proceedings
Series Number 3479
Series ISSN 1613-0073
Keywords Medical informatics; Bioinformatics; Artificial intelligence
Public URL https://rgu-repository.worktribe.com/output/2114890
Publisher URL https://ceur-ws.org/Vol-3479/
Additional Information The file accompanying this record contains the preface from the proceedings. The full set of proceedings are available from the publisher's website: https://ceur-ws.org/Vol-3479/

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