ML4H 2024 Findings track汇集健康领域前沿探索，推动跨学科对话。
Machine Learning for Health symposium 2024 -- Findings track
- 聚焦健康医疗创新研究，鼓励新思路与跨领域协作
- 经双盲评审，涵盖临床、生物与公共卫生等方向
- 适合关注医疗AI新趋势的研究者与实践者
本文为第四届机器学习与健康研讨会（ML4H 2024）的发现类论文合集，会议于2024年12月15-16日在加拿大温哥华举行。该会议面向医疗、生物医学及公共卫生等领域的高质量研究，接受两种投稿类型：归档论文（Proceedings）和非归档发现（Findings）。其中，归档论文强调技术成熟度与高影响力，而发现类论文旨在激发新见解、促进合作与讨论。所有提交论文均通过双盲同行评审。本次合集收录了在会上展示的发现类论文，涵盖多领域前沿探索。
原文摘要 · Abstract (English)
A collection of the accepted Findings papers that were presented at the 4th Machine Learning for Health symposium (ML4H 2024), which was held on December 15-16, 2024, in Vancouver, BC, Canada. ML4H 2024 invited high-quality submissions describing innovative research in a variety of health-related disciplines including healthcare, biomedicine, and public health. Works could be submitted to either the archival Proceedings track, or the non-archival Findings track. The Proceedings track targeted mature, cohesive works with technical sophistication and high-impact relevance to health. The Findings track promoted works that would spark new insights, collaborations, and discussions at ML4H. Both tracks were given the opportunity to share their work through the in-person poster session. All the manuscripts submitted to ML4H Symposium underwent a double-blind peer-review process.
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