Exploring Optimal Granularity for Extractive Summarization of Unstructured Health Records: Analysis of the Largest Multi-Institutional Archive of Health Records in Japan

20 September 2022

Papers citing "Exploring Optimal Granularity for Extractive Summarization of Unstructured Health Records: Analysis of the Largest Multi-Institutional Archive of Health Records in Japan"

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Title
Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Study Prottay Kumar Adhikary Aseem Srivastava Shivani Kumar Salam Michael Singh Puneet Manuja Jini K. Gopinath Vijay Krishnan Swati Kedia K. Deb Tanmoy Chakraborty AI4MH 43 8 0 29 Feb 2024
AI Hallucinations: A Misnomer Worth Clarifying Negar Maleki Balaji Padmanabhan Kaushik Dutta 28 34 0 09 Jan 2024
Is In-hospital Meta-information Useful for Abstractive Discharge Summary Generation? Kenichiro Ando Mamoru Komachi T. Okumura Hiromasa Horiguchi Yuji Matsumoto 15 2 0 10 Mar 2023
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes Han-Chin Shing Chaitanya P. Shivade Nima Pourdamghani Feng Nan Philip Resnik Douglas W. Oard Parminder Bhatia 60 24 0 27 Apr 2021
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization Griffin Adams Emily Alsentzer Mert Ketenci Jason Zucker Noémie Elhadad 50 47 0 12 Apr 2021
Better Highlighting: Creating Sub-Sentence Summary Highlights Sangwoo Cho Kaiqiang Song Chen Li Dong Yu H. Foroosh Fei Liu 49 12 0 20 Oct 2020
Factual Error Correction for Abstractive Summarization Models Mengyao Cao Yue Dong Jiapeng Wu Jackie C.K. Cheung HILM KELM 169 159 0 17 Oct 2020