Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Diwakar, Mahajan"'
Autor:
Parthasarathy Suryanarayanan, Ching-Huei Tsou, Ananya Poddar, Diwakar Mahajan, Bharath Dandala, Piyush Madan, Anshul Agrawal, Charles Wachira, Osebe Mogaka Samuel, Osnat Bar-Shira, Clifton Kipchirchir, Sharon Okwako, William Ogallo, Fred Otieno, Timothy Nyota, Fiona Matu, Vesna Resende Barros, Daniel Shats, Oren Kagan, Sekou Remy, Oliver Bent, Pooja Guhan, Shilpa Mahatma, Aisha Walcott-Bryant, Divya Pathak, Michal Rosen-Zvi
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-14 (2021)
Measurement(s) Preventive Intervention • Public Health Technology Type(s) natural language processing objective • Artificial Intelligence Sample Characteristic - Environment anthropogenic environment Sample Characteristic - Location Global Machin
Externí odkaz:
https://doaj.org/article/402d4faac6884b6cbe471fadc5c89346
Autor:
Fred Otieno, Charles Wachira, Vesna Resende Barros, Fiona Matu, Anshul Agrawal, Diwakar Mahajan, Oren Kagan, Daniel Shats, Timothy Nyota, William Ogallo, Oliver Bent, Sekou L. Remy, Pooja Guhan, Bharath Dandala, Osnat Bar-Shira, Ananya Poddar, Shilpa Mahatma, Clifton Kipchirchir, Michal Rosen-Zvi, Sharon Okwako, Divya Pathak, Osebe Mogaka Samuel, Parthasarathy Suryanarayanan, Ching-Huei Tsou, Piyush Madan, Aisha Walcott-Bryant
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-14 (2021)
Scientific Data
Scientific Data
The Coronavirus disease 2019 (COVID-19) global pandemic has transformed almost every facet of human society throughout the world. Against an emerging, highly transmissible disease, governments worldwide have implemented non-pharmaceutical interventio
Publikováno v:
Journal of biomedical informatics. 133
Autor:
Jennifer J, Liang, Ching-Huei, Tsou, Bharath, Dandala, Ananya, Poddar, Venkata, Joopudi, Diwakar, Mahajan, John, Prager, Preethi, Raghavan, Michele, Payne
Publikováno v:
AMIA Annu Symp Proc
Overabundance of information within electronic health records (EHRs) has resulted in a need for automated systems to mitigate the cognitive burden on physicians utilizing today’s EHR systems. We present ProSPER, a Problem-oriented Summary of the Pa
Autor:
Giridhar Kaushik Ramachandran, Kevin Lybarger, Yaya Liu, Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou, Meliha Yetisgen, Özlem Uzuner
Publikováno v:
J Biomed Inform
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0c0d70ca30f49aa4da7351e67b6efe3
Autor:
Jennifer J Liang, Eric Lehman, Ananya Iyengar, Diwakar Mahajan, Preethi Raghavan, Cindy Y. Chang, Peter Szolovits
Publikováno v:
Proceedings of the 21st Workshop on Biomedical Language Processing.
Publikováno v:
BioNLP@NAACL-HLT
Although recent advances in abstractive summarization systems have achieved high scores on standard natural language metrics like ROUGE, their lack of factual consistency remains an open challenge for their use in sensitive real-world settings such a
Publikováno v:
SemEval@ACL/IJCNLP
Understanding tables is an important and relevant task that involves understanding table structure as well as being able to compare and contrast information within cells. In this paper, we address this challenge by presenting a new dataset and tasks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38315bd810c284304c74e9ab1de35ed6
Autor:
Ananya Poddar, Preethi Raghavan, Jennifer J. Liang, Parthasarathy Suryanarayanan, Ching-Huei Tsou, Diwakar Mahajan, John M. Prager, Yen-Ting Lin
Publikováno v:
JMIR Medical Informatics
JMIR Medical Informatics, Vol 8, Iss 11, p e22508 (2020)
JMIR Medical Informatics, Vol 8, Iss 11, p e22508 (2020)
Background Although electronic health records (EHRs) have been widely adopted in health care, effective use of EHR data is often limited because of redundant information in clinical notes introduced by the use of templates and copy-paste during note
Autor:
Diwakar Mahajan, Ananya Poddar, Jennifer J Liang, Yen-Ting Lin, John M Prager, Parthasarathy Suryanarayanan, Preethi Raghavan, Ching-Huei Tsou
BACKGROUND Although electronic health records (EHRs) have been widely adopted in health care, effective use of EHR data is often limited because of redundant information in clinical notes introduced by the use of templates and copy-paste during note
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::928404869e3cfa9f74025a85dd5a2c61
https://doi.org/10.2196/preprints.22508
https://doi.org/10.2196/preprints.22508