Zaghir et al., 2021 - Google Patents
Real-world patient trajectory prediction from clinical notes using artificial neural networks and UMLS-based extraction of conceptsZaghir et al., 2021
View HTML- Document ID
- 2554534010478426971
- Author
- Zaghir J
- Rodrigues-Jr J
- Goeuriot L
- Amer-Yahia S
- Publication year
- Publication venue
- Journal of Healthcare Informatics Research
External Links
Snippet
As more data is generated from medical attendances and as Artificial Neural Networks gain momentum in research and industry, computer-aided medical prognosis has become a promising technology. A common approach to perform automated prognoses relies on …
- 230000001537 neural 0 title abstract description 32
Classifications
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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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- G—PHYSICS
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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
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- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
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