Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ashwani Tanwar"'
Autor:
Jingqing Zhang, Luis Daniel Bolanos Trujillo, Ashwani Tanwar, Julia Ive, Vibhor Gupta, Yike Guo
Publikováno v:
BMJ Health & Care Informatics, Vol 29, Iss 1 (2022)
Objective Clinical notes contain information that has not been documented elsewhere, including responses to treatment and clinical findings, which are crucial for predicting key outcomes in patients in acute care. In this study, we propose the automa
Externí odkaz:
https://doaj.org/article/5320a728a2e54424b17326cf9f44357e
Publikováno v:
Exp Biol Med (Maywood)
Phenotypic information of patients, as expressed in clinical text, is important in many clinical applications such as identifying patients at risk of hard-to-diagnose conditions. Extracting and inferring some phenotypes from clinical text requires nu
Publikováno v:
Multimodal AI in Healthcare ISBN: 9783031147708
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0aa83795454fb0c7886fa5a6fed7acea
https://doi.org/10.1007/978-3-031-14771-5_2
https://doi.org/10.1007/978-3-031-14771-5_2
Publikováno v:
2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).
Autor:
Ashwani Tanwar, Prasenjit Majumder
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 19:1-15
This work presents an in-depth analysis of machine translations of morphologically-rich Indo-Aryan and Dravidian languages under zero-resource conditions. It focuses on Zero-Shot Systems for these languages and leverages transfer-learning by exploiti
Autor:
Jingqing Zhang, Luis Daniel Bolanos Trujillo, Ashwani Tanwar, Julia Ive, Vibhor Gupta, Yike Guo
Publikováno v:
BMJ healthcare informatics. 29(1)
ObjectiveClinical notes contain information that has not been documented elsewhere, including responses to treatment and clinical findings, which are crucial for predicting key outcomes in patients in acute care. In this study, we propose the automat
Autor:
Rachel Yung, Kari A. Stephens, Meliha Yetisgen, Andrea Burnett-Hartman, Ashwani Tanwar, Guilherme Freire, Atri Sharma, Jingqing Zhang, Vibhor Gupta, Yike Guo, VK Gadi, Larry Kessler
Publikováno v:
Cancer Research. 82:4090-4090
Background: Understanding the impact of precision medicine on medical practice, patient care, and clinical outcomes is a priority for advancing cancer care. With the recent dramatic increase in the use of tumor genomic testing (TGT), records within E
Autor:
Jingqing Zhang, Luis Bolanos, Tong Li, Ashwani Tanwar, Guilherme Freire, Xian Yang, Julia Ive, Vibhor Gupta, Yike Guo
Publikováno v:
University of Manchester-PURE
Contextualised word embeddings is a powerful tool to detect contextual synonyms. However, most of the current state-of-the-art (SOTA) deep learning concept extraction methods remain supervised and underexploit the potential of the context. In this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bcb07485f665d56a51946e1d1602d78