Létinier et al., 2021 - Google Patents
Artificial intelligence for unstructured healthcare data: application to coding of patient reporting of adverse drug reactionsLétinier et al., 2021
View PDF- Document ID
- 2719627866937686863
- Author
- Létinier L
- Jouganous J
- Benkebil M
- Bel‐Létoile A
- Goehrs C
- Singier A
- Rouby F
- Lacroix C
- Miremont G
- Micallef J
- Salvo F
- Pariente A
- Publication year
- Publication venue
- Clinical Pharmacology & Therapeutics
External Links
Snippet
Adverse drug reaction (ADR) reporting is a major component of drug safety monitoring; its input will, however, only be optimized if systems can manage to deal with its tremendous flow of information, based primarily on unstructured text fields. The aim of this study was to …
- 208000006922 Drug-Related Side Effects and Adverse Reaction 0 title abstract description 86
Classifications
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- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
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- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- 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
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- G—PHYSICS
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- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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