Machine Learning for Health：来自 ML4H 2024 研讨会研究圆桌的近断言、应用与开放挑战
机器学习
2025-02-11 v1 人工智能
计算机与社会
摘要
第四届面向健康领域的机器学习（ML4H）研讨会于 2024 年 12 月 15 日至 16 日于加拿大不列颠哥伦比亚省温哥华的传统、祖先且未被认可的土地上（Musqueam、Squamish 和 Tsleil-Waututh 族）举办。研讨会包括 research roundtable sessions 以 foster discussion between participants and senior researchers on timely and relevant topics for ML4H community。研讨会的 research roundtable 组织涉及 13 位 senior 和 27 位 junior chairs across 13 tables。每个 roundtable session 包括一位受邀的 senior chair（拥有该领域大量经验的专家）、负责 facilitate discussion 的 junior chairs，以及来自 diverse backgrounds 且对 session topic 感兴趣的 attendees。
引用
@article{arxiv.2502.06693,
title = {Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium},
author = {Amin Adibi and Xu Cao and Zongliang Ji and Jivat Neet Kaur and Winston Chen and Elizabeth Healey and Brighton Nuwagira and Wenqian Ye and Geoffrey Woollard and Maxwell A Xu and Hejie Cui and Johnny Xi and Trenton Chang and Vasiliki Bikia and Nicole Zhang and Ayush Noori and Yuan Xia and Md. Belal Hossain and Hanna A. Frank and Alina Peluso and Yuan Pu and Shannon Zejiang Shen and John Wu and Adibvafa Fallahpour and Sazan Mahbub and Ross Duncan and Yuwei Zhang and Yurui Cao and Zuheng Xu and Michael Craig and Rahul G. Krishnan and Rahmatollah Beheshti and James M. Rehg and Mohammad Ehsanul Karim and Megan Coffee and Leo Anthony Celi and Jason Alan Fries and Mohsen Sadatsafavi and Dennis Shung and Shannon McWeeney and Jessica Dafflon and Sarah Jabbour},
journal= {arXiv preprint arXiv:2502.06693},
year = {2025}
}