Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Parthasarathy, Suryanarayanan"'
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:
Parthasarathy, Suryanarayanan, Edward A, Epstein, Abhishek, Malvankar, Burn L, Lewis, Lou, DeGenaro, Jennifer J, Liang, Ching-Huei, Tsou, Divya, Pathak
Publikováno v:
AMIA Annu Symp Proc
A patient's electronic health record (EHR) contains extensive documentation of the patient's medical history but is difficult for clinicians to review and find what they are looking for under the time constraints of the clinical setting. Although rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::66b5dbf8b3550f934cb3ffdb52188b98
https://pubmed.ncbi.nlm.nih.gov/33936494
https://pubmed.ncbi.nlm.nih.gov/33936494
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bea1c8250098e66cf42243db579771f2
https://pubmed.ncbi.nlm.nih.gov/33245284
https://pubmed.ncbi.nlm.nih.gov/33245284
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
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