Zobrazeno 1 - 10
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pro vyhledávání: '"Lai, Albert M"'
Autor:
Idnay, Betina, Xu, Zihan, Adams, William G., Adibuzzaman, Mohammad, Anderson, Nicholas R., Bahroos, Neil, Bell, Douglas S., Bumgardner, Cody, Campion, Thomas, Castro, Mario, Cimino, James J., Cohen, I. Glenn, Dorr, David, Elkin, Peter L, Fan, Jungwei W., Ferris, Todd, Foran, David J., Hanauer, David, Hogarth, Mike, Huang, Kun, Kalpathy-Cramer, Jayashree, Kandpal, Manoj, Karnik, Niranjan S., Katoch, Avnish, Lai, Albert M., Lambert, Christophe G., Li, Lang, Lindsell, Christopher, Liu, Jinze, Lu, Zhiyong, Luo, Yuan, McGarvey, Peter, Mendonca, Eneida A., Mirhaji, Parsa, Murphy, Shawn, Osborne, John D., Paschalidis, Ioannis C., Harris, Paul A., Prior, Fred, Shaheen, Nicholas J., Shara, Nawar, Sim, Ida, Tachinardi, Umberto, Waitman, Lemuel R., Wright, Rosalind J., Zai, Adrian H., Zheng, Kai, Lee, Sandra Soo-Jin, Malin, Bradley A., Natarajan, Karthik, Price II, W. Nicholson, Zhang, Rui, Zhang, Yiye, Xu, Hua, Bian, Jiang, Weng, Chunhua, Peng, Yifan
This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 institutions supported by the Clinical and Translational Science Award (CTSA) P
Externí odkaz:
http://arxiv.org/abs/2410.12793
Generative pre-trained transformer (GPT) models have shown promise in clinical entity and relation extraction tasks because of their precise extraction and contextual understanding capability. In this work, we further leverage the Unified Medical Lan
Externí odkaz:
http://arxiv.org/abs/2407.10021
Autor:
Kumar, Sayantan, Oh, Inez, Schindler, Suzanne, Lai, Albert M, Payne, Philip R O, Gupta, Aditi
Publikováno v:
JAMIA Open, Volume 4, Issue 3, July 2021, ooab052
Objective Alzheimer disease (AD) is the most common cause of dementia, a syndrome characterized by cognitive impairment severe enough to interfere with activities of daily life. We aimed to conduct a systematic literature review (SLR) of studies that
Externí odkaz:
http://arxiv.org/abs/2108.04174
Akademický článek
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Learning representations for knowledge base entities and concepts is becoming increasingly important for NLP applications. However, recent entity embedding methods have relied on structured resources that are expensive to create for new domains and c
Externí odkaz:
http://arxiv.org/abs/1807.03399
Analogy completion has been a popular task in recent years for evaluating the semantic properties of word embeddings, but the standard methodology makes a number of assumptions about analogies that do not always hold, either in recent benchmark datas
Externí odkaz:
http://arxiv.org/abs/1706.02241
Autor:
Bhattarai, Kriti, Oh, Inez Y, Sierra, Jonathan Moran, Tang, Jonathan, Payne, Philip R O, Abrams, Zach, Lai, Albert M
Publikováno v:
JAMIA Open; Oct2024, Vol. 7 Issue 3, p1-9, 9p
Autor:
Foraker, Randi E., Davidson, Eleanor C., Dressler, Emily V., Wells, Brian J., Lee, Simon Craddock, Klepin, Heidi D., Winkfield, Karen M., Hundley, W. Gregory, Payne, Philip R.O., Lai, Albert M., Lesser, Glenn J., Weaver, Kathryn E.
Publikováno v:
In Contemporary Clinical Trials Communications June 2021 22
Electronic health records capture patient information using structured controlled vocabularies and unstructured narrative text. While structured data typically encodes lab values, encounters and medication lists, unstructured data captures the physic
Externí odkaz:
http://arxiv.org/abs/1502.04049
Akademický článek
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