Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Moon, Sungrim"'
Autor:
Moon, Sungrim, Wu, Yuqi, Doughty, Jay B., Wieland, Mark L., Philpot, Lindsey M., Fan, Jungwei W., Njeru, Jane W.
Publikováno v:
In Mayo Clinic Proceedings: Digital Health September 2024 2(3):411-420
Publikováno v:
JMIR AI 2023;2:e41818
Background: Extractive question-answering (EQA) is a useful natural language processing (NLP) application for answering patient-specific questions by locating answers in their clinical notes. Realistic clinical EQA can have multiple answers to a sing
Externí odkaz:
http://arxiv.org/abs/2201.02517
Autor:
Fu, Sunyang, Jia, Heling, Vassilaki, Maria, Keloth, Vipina K., Dang, Yifang, Zhou, Yujia, Garg, Muskan, Petersen, Ronald C., St Sauver, Jennifer, Moon, Sungrim, Wang, Liwei, Wen, Andrew, Li, Fang, Xu, Hua, Tao, Cui, Fan, Jungwei, Liu, Hongfang, Sohn, Sunghwan
Publikováno v:
In Journal of Biomedical Informatics April 2024 152
Autor:
Moon, Sungrim, Wen, Andrew, Scott, Christopher G., Ackerman, Michael J., Geske, Jeffrey B., Noseworthy, Peter A., Ommen, Steve R, Shellum, Jane L, Liu, Hongfang, Nishimura, Rick A.
Background: One of the common causes of sudden cardiac death (SCD) in young people is hypertrophic cardiomyopathy (HCM) and the primary prevention of SCD is with an implantable cardioverter defibrillators (ICD). Concerning the incidence of appropriat
Externí odkaz:
http://arxiv.org/abs/2001.08644
Objectives: To adapt and evaluate a deep learning language model for answering why-questions based on patient-specific clinical text. Materials and Methods: Bidirectional encoder representations from transformers (BERT) models were trained with varyi
Externí odkaz:
http://arxiv.org/abs/1911.05604
Autor:
Fu, Sunyang, Chen, David, He, Huan, Liu, Sijia, Moon, Sungrim, Peterson, Kevin J, Shen, Feichen, Wang, Liwei, Wang, Yanshan, Wen, Andrew, Zhao, Yiqing, Sohn, Sunghwan, Liu, Hongfang
Publikováno v:
Journal of Biomedical Informatics (2020): 103526
Background Concept extraction, a subdomain of natural language processing (NLP) with a focus on extracting concepts of interest, has been adopted to computationally extract clinical information from text for a wide range of applications ranging from
Externí odkaz:
http://arxiv.org/abs/1910.11377
Publikováno v:
In International Journal of Medical Informatics September 2022 165
Autor:
Moon, Sungrim1 (AUTHOR), Liu, Sijia1 (AUTHOR), Kshatriya, Bhavani Singh Agnikula2 (AUTHOR), Fu, Sunyang1 (AUTHOR), Moser, Ethan D.3 (AUTHOR), Bielinski, Suzette J.3 (AUTHOR), Fan, Jungwei1 (AUTHOR), Liu, Hongfang1 (AUTHOR) liu.hongfang@mayo.edu
Publikováno v:
PLoS ONE. 3/31/2023, Vol. 17 Issue 3, p1-13. 13p.
Autor:
Fu, Sunyang, Chen, David, He, Huan, Liu, Sijia, Moon, Sungrim, Peterson, Kevin J., Shen, Feichen, Wang, Liwei, Wang, Yanshan, Wen, Andrew, Zhao, Yiqing, Sohn, Sunghwan, Liu, Hongfang
Publikováno v:
In Journal of Biomedical Informatics September 2020 109
Autor:
Moon, Sungrim, Liu, Sijia, Scott, Christopher G., Samudrala, Sujith, Abidian, Mohamed M., Geske, Jeffrey B., Noseworthy, Peter A., Shellum, Jane L., Chaudhry, Rajeev, Ommen, Steve R., Nishimura, Rick A., Liu, Hongfang, Arruda-Olson, Adelaide M.
Publikováno v:
In International Journal of Medical Informatics August 2019 128:32-38