Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Bharath Dandala"'
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::127fef5344c748551424c93a1ba6715b
https://doaj.org/article/402d4faac6884b6cbe471fadc5c89346
https://doaj.org/article/402d4faac6884b6cbe471fadc5c89346
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::342951203c7eb2355a5454537986913e
https://pubmed.ncbi.nlm.nih.gov/35308927
https://pubmed.ncbi.nlm.nih.gov/35308927
Publikováno v:
Drug Safety. 42:135-146
Adverse drug events (ADEs) occur in approximately 2–5% of hospitalized patients, often resulting in poor outcomes or even death. Extraction of ADEs from clinical narratives can accelerate and automate pharmacovigilance. Using state-of-the-art deep-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f4b42b60e93162a28d907925689547c
https://doi.org/10.1007/s40264-018-0764-x
https://doi.org/10.1007/s40264-018-0764-x
Autor:
Ching-Huei Tsou, Parthasarathy Suryanarayanan, Bharath Dandala, Jennifer J. Liang, Venkata Joopudi
Publikováno v:
JMIR Medical Informatics
JMIR Medical Informatics, Vol 8, Iss 7, p e18417 (2020)
JMIR Medical Informatics, Vol 8, Iss 7, p e18417 (2020)
Background An adverse drug event (ADE) is commonly defined as “an injury resulting from medical intervention related to a drug.” Providing information related to ADEs and alerting caregivers at the point of care can reduce the risk of prescriptio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd2a4f8357e9bb3ad4942a2c0446c13c
http://europepmc.org/articles/PMC7382020
http://europepmc.org/articles/PMC7382020
Autor:
Parthasarathy Suryanarayanan, Jennifer Liang, Venkata Joopudi, Ching-Huei Tsou, Bharath Dandala
BACKGROUND An adverse drug event (ADE) is commonly defined as “an injury resulting from medical intervention related to a drug.” Providing information related to ADEs and alerting caregivers at the point of care can reduce the risk of prescriptio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::237dd10426bde63738e1fdebc1796de5
https://doi.org/10.2196/preprints.18417
https://doi.org/10.2196/preprints.18417
Publikováno v:
Journal of biomedical informatics. 86
Abbreviations sense disambiguation is a special case of word sense disambiguation. Machine learning methods based on neural networks showed promising results for word sense disambiguation (Festag and Spreckelsen, 2017) [1] and, here we assess their e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c51309bb27965b64d419154e68a2056
https://pubmed.ncbi.nlm.nih.gov/30118854
https://pubmed.ncbi.nlm.nih.gov/30118854
Publikováno v:
The People’s Web Meets NLP ISBN: 9783642350849
The People's Web Meets NLP
The People's Web Meets NLP
This paper describes explorations in word sense disambiguation using Wikipedia as a source of sense annotations. Through experiments on four different languages, we show that the Wikipedia-based sense annotations are reliable and can be used to const
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6d86dca3f8017f615a75537e8113a51
https://doi.org/10.1007/978-3-642-35085-6_9
https://doi.org/10.1007/978-3-642-35085-6_9