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论文共 29 篇作者统计合作学者相似作者

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Large Language Models Are Powerful Electronic Health Record Encoders
Stefan Hegselmann, Georg von Arnim, Tillmann Rheude, Noel Kronenberg,David Sontag,Gerhard Hindricks,Roland Eils, Benjamin Wild
CoRR (2025)
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Machine Learning for Health Symposium 2024 – Findings Track
Stefan Hegselmann,Helen Zhou, Elizabeth Healey, Trenton Chang,Caleb Ellington,Vishwali Mhasawade, Sana Tonekaboni, Peniel Argaw,Haoran Zhang
CoRR (2025)
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Benchmark Evaluation of DeepSeek Large Language Models in Clinical Decision-Making
Sarah Sandmann,Stefan Hegselmann, Michael Fujarski, Lucas Bickmann, Benjamin Wild, Roland Eils,Julian Varghese
Nature medicine (2025)
引用0浏览0WOSNATURE引用
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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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作者统计

#Papers: 29

#Citation: 634

H-Index: 8

G-Index: 17

Sociability: 5

Diversity: 2

Activity: 9

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