Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2022 Symposium
Stefan Hegselmann,Helen Zhou,Yuyin Zhou, Jennifer Chien, Shivashankar H. Nagaraj, Neha Hulkund, Shreyas Bhave,Michael Oberst, Anil Pai,Caleb Ellington, Wisdom Ikezogwo, Jason Dou,Monica Agrawal, C. Y. Li,Peniel N. Argaw, Arnab Biswas, Manik Gupta Manik Gupta, Xinhui Li, Marta Lemanczyk, Yong‐Wei Zhang, Christian Garbin,Elizabeth Healey, Heejong Kim, Claire Boone,Roxana Daneshjou, Siyu Shi, Nicola Pezzotti, Stephen R. Pfohl, Edwin Fong,Aakanksha Naik,Ben Lengerich, Ying Xü, Jonathan Bidwell,Mark Sendak, B.S. Kim, Nathaniel Hendrix,Dimitris Spathis, Jun Seita, Bastiaan Quast,Megan Coffee, Collin Stultz,Irene Y. Chen,Shalmali Joshi,Girmaw Abebe Tadesse Zenodo (CERN European Organization for Nuclear Research)（2023）
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research roundtables,machine learning,health,open challenges
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