Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Sanmitra Bhattacharya"'
Autor:
Michael Suesserman, Samantha Gorny, Daniel Lasaga, John Helms, Dan Olson, Edward Bowen, Sanmitra Bhattacharya
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background Fraud, Waste, and Abuse (FWA) in medical claims have a negative impact on the quality and cost of healthcare. A major component of FWA in claims is procedure code overutilization, where one or more prescribed procedures may not be
Externí odkaz:
https://doaj.org/article/02555d8075b94df6af5d8c4ed9e785df
Autor:
Nhat Quang Tran, Gautam Goel, Nirmala Pudota, Michael Suesserman, John Helms, Daniel Lasaga, Dan Olson, Edward Bowen, Sanmitra Bhattacharya
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Hospital readmissions rate is reportedly high and has caused huge financial burden on health care systems in many countries. It is viewed as an important indicator of health care providers’ quality of care. We examine the use of machine le
Externí odkaz:
https://doaj.org/article/d942e490334348c29aaec144523e67a8
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 17, Iss 1, Pp 1-12 (2017)
Abstract Background It is becoming increasingly common for individuals and organizations to use social media platforms such as Facebook. These are being used for a wide variety of purposes including disseminating, discussing and seeking health relate
Externí odkaz:
https://doaj.org/article/0959ac78443542249a4972439b719453
Autor:
Sal Aguinaga, Daniel Lasaga, Shivashankar Danthuri, John Helms, Edward Bowen, Sanmitra Bhattacharya
Publikováno v:
2023 11th International Symposium on Digital Forensics and Security (ISDFS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a692f30a727c131e7b21109483c29fcb
https://doi.org/10.1109/isdfs58141.2023.10131779
https://doi.org/10.1109/isdfs58141.2023.10131779
Publikováno v:
PLoS ONE, Vol 9, Iss 11, p e112235 (2014)
To investigate factors associated with engagement of U.S. Federal Health Agencies via Twitter. Our specific goals are to study factors related to a) numbers of retweets, b) time between the agency tweet and first retweet and c) time between the agenc
Externí odkaz:
https://doaj.org/article/e9f64e50e2a04f8ea959eeaddb5e3875
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 17, Iss 1, Pp 1-12 (2017)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background It is becoming increasingly common for individuals and organizations to use social media platforms such as Facebook. These are being used for a wide variety of purposes including disseminating, discussing and seeking health related informa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ce08ed685f63b158c76d57212fad745
http://link.springer.com/article/10.1186/s12911-017-0447-z
http://link.springer.com/article/10.1186/s12911-017-0447-z
Autor:
Sanmitra Bhattacharya
Data from social media platforms are being actively mined for trends and patterns of interests. Problems such as sentiment analysis and prediction of election outcomes have become tremendously popular due to the unprecedented availability of social i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::488d0f4bb40fcdf0f53b0891406157a3
https://doi.org/10.17077/etd.fc7zw01r
https://doi.org/10.17077/etd.fc7zw01r
Publikováno v:
Journal of the Association for Information Science and Technology. 67:249-267
Political sentiment analysis using social media, especially Twitter, has attracted wide interest in recent years. In such research, opinions about politicians are typically divided into positive, negative, or neutral. In our research, the goal is to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7c4979a976b169ec93da902b89600f6
https://doi.org/10.1002/asi.23377
https://doi.org/10.1002/asi.23377
Publikováno v:
Journal of Biomedical Informatics. 46:805-813
Graphical abstractDisplay Omitted We compare textual complexity of full-text and ClinicalTrials.gov (CT) protocols.We use cosine-similarity measures to identify clusters for standardization.We find that CT protocols are very condensed and convey less
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7052047d3fa8272340aa5405c774da9
https://doi.org/10.1016/j.jbi.2013.06.001
https://doi.org/10.1016/j.jbi.2013.06.001
Publikováno v:
Bioinformatics
Motivation: Previous research in the biomedical text-mining domain has historically been limited to titles, abstracts and metadata available in MEDLINE records. Recent research initiatives such as TREC Genomics and BioCreAtIvE strongly point to the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cf6f275dfb2292cd6cc6d3ec9b27c9a
https://doi.org/10.1093/bioinformatics/btr223
https://doi.org/10.1093/bioinformatics/btr223