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pro vyhledávání: '"Ramachandran, Giridhar Kaushik"'
BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning
Autor:
Fu, Yujuan Velvin, Ramachandran, Giridhar Kaushik, Park, Namu, Lybarger, Kevin, Xia, Fei, Uzuner, Ozlem, Yetisgen, Meliha
Large language models (LLMs) such as ChatGPT are fine-tuned on large and diverse instruction-following corpora, and can generalize to new tasks. However, those instruction-tuned LLMs often perform poorly in specialized medical natural language unders
Externí odkaz:
http://arxiv.org/abs/2410.18955
Autor:
Fu, Yujuan, Ramachandran, Giridhar Kaushik, Halwani, Ahmad, McInnes, Bridget T., Xia, Fei, Lybarger, Kevin, Yetisgen, Meliha, Uzuner, Özlem
Publikováno v:
Journal of the American Medical Informatics Association (2024): ocae231
Clinical notes contain unstructured representations of patient histories, including the relationships between medical problems and prescription drugs. To investigate the relationship between cancer drugs and their associated symptom burden, we extrac
Externí odkaz:
http://arxiv.org/abs/2409.03905
Autor:
Fu, Yujuan, Ramachandran, Giridhar Kaushik, Dobbins, Nicholas J, Park, Namu, Leu, Michael, Rosenberg, Abby R., Lybarger, Kevin, Xia, Fei, Uzuner, Ozlem, Yetisgen, Meliha
Social determinants of health (SDoH) play a critical role in shaping health outcomes, particularly in pediatric populations where interventions can have long-term implications. SDoH are frequently studied in the Electronic Health Record (EHR), which
Externí odkaz:
http://arxiv.org/abs/2404.00826
Autor:
Park, Namu, Lybarger, Kevin, Ramachandran, Giridhar Kaushik, Lewis, Spencer, Damani, Aashka, Uzuner, Ozlem, Gunn, Martin, Yetisgen, Meliha
Medical imaging is critical to the diagnosis, surveillance, and treatment of many health conditions, including oncological, neurological, cardiovascular, and musculoskeletal disorders, among others. Radiologists interpret these complex, unstructured
Externí odkaz:
http://arxiv.org/abs/2403.18975
Autor:
Ramachandran, Giridhar Kaushik, Fu, Yujuan, Han, Bin, Lybarger, Kevin, Dobbins, Nicholas J, Uzuner, Özlem, Yetisgen, Meliha
Social determinants of health (SDOH) documented in the electronic health record through unstructured text are increasingly being studied to understand how SDOH impacts patient health outcomes. In this work, we utilize the Social History Annotation Co
Externí odkaz:
http://arxiv.org/abs/2306.07170
In online forums like Reddit, users share their experiences with medical conditions and treatments, including making claims, asking questions, and discussing the effects of treatments on their health. Building systems to understand this information c
Externí odkaz:
http://arxiv.org/abs/2304.13875
Autor:
Ramachandran, Giridhar Kaushik, Lybarger, Kevin, Liu, Yaya, Mahajan, Diwakar, Liang, Jennifer J., Tsou, Ching-Huei, Yetisgen, Meliha, Uzuner, Özlem
Publikováno v:
Journal of Biomedical Informatics.139.2023.104302.1532-0464
An accurate and detailed account of patient medications, including medication changes within the patient timeline, is essential for healthcare providers to provide appropriate patient care. Healthcare providers or the patients themselves may initiate
Externí odkaz:
http://arxiv.org/abs/2208.08417
Autor:
Ramachandran, Giridhar Kaushik, Lybarger, Kevin, Liu, Yaya, Mahajan, Diwakar, Liang, Jennifer J., Tsou, Ching-Huei, Yetisgen, Meliha, Uzuner, Özlem
Publikováno v:
In Journal of Biomedical Informatics March 2023 139
Autor:
Fu, Yujuan Velvin1 (AUTHOR) velvinfu@uw.edu, Ramachandran, Giridhar Kaushik2 (AUTHOR), Halwani, Ahmad3 (AUTHOR), McInnes, Bridget T4 (AUTHOR), Xia, Fei5 (AUTHOR), Lybarger, Kevin2 (AUTHOR), Yetisgen, Meliha1 (AUTHOR), Uzuner, Özlem2 (AUTHOR)
Publikováno v:
Journal of the American Medical Informatics Association. Nov2024, Vol. 31 Issue 11, p2583-2594. 12p.
Akademický článek
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