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Katragadda et al., 2015 - Google Patents

Detecting adverse drug effects using link classification on twitter data

Katragadda et al., 2015

Document ID
8347734310075936349
Author
Katragadda S
Karnati H
Pusala M
Raghavan V
Benton R
Publication year
Publication venue
2015 IEEE International conference on bioinformatics and biomedicine (BIBM)

External Links

Snippet

Adverse drug events (ADEs) are among the leading causes of death in the United States. Although many ADEs are detected during pharmaceutical drug development and the FDA approval process, all of the possible reactions cannot be identified during this period …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
    • G—PHYSICS
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    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01—Social networking

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