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KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: state of XAI and trustworthiness in health

Item Type:Conference or Workshop Item
Title:KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: state of XAI and trustworthiness in health
Creators Name:Wang, F. and Chakraborty, P. and Xu, T. and Hsueh, P.Y.S. and Sun, X. and Stiglic, G. and Crane, G. and Bian, J. and Haghverdi, L. and Yao, L. and Buettner, F.
Abstract:KDD Health Day/DSHealth 2021, aims to build on the success of the past 3 years to further catalyze the development of links between academic and commercial data science groups and the rapidly developing translational medicine informatics community. The workshop will stimulate discussion as to strategic areas for development and will lead to future cross-disciplinary collaborations. In accordance with the multi-year goal to continue fostering this community as a series of KDD workshops via timely topics, this year the workshop will focus on the state of explainability and trustworthiness in healthcare. The workshop invites full papers, as well as work-in-progress on the application of data science in healthcare. The workshop will feature 8 invited talks from eminent speakers across academia, industry, clinical researchers, and governmental regulatory bodies. In addition, selected papers will be invited to publish in a special issue of Artificial Intelligence in Medicine journal. The summary gives a brief description of the full-day workshop to be held on August, 2021 virtually.
Keywords:Applied Computing, Computing Methodologies, Life and Medical Sciences, Artificial Intelligence, Computational Biology, Health Informatics
Source:Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Title of Book:Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
ISBN:978-1-4503-8332-5
Publisher:Association for Computing Machinery
Page Range:4159-4160
Date:14 August 2021
Official Publication:https://doi.org/10.1145/3447548.3469474

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