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Rostamzadeh et al., 2022 - Google Patents

Visual analytics for predicting disease outcomes using laboratory test results

Rostamzadeh et al., 2022

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Document ID
3730434231308059539
Author
Rostamzadeh N
Abdullah S
Sedig K
Garg A
McArthur E
Publication year
Publication venue
Informatics

External Links

Snippet

Laboratory tests play an essential role in the early and accurate diagnosis of diseases. In this paper, we propose SUNRISE, a visual analytics system that allows the user to interactively explore the relationships between laboratory test results and a disease …
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Classifications

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    • 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
    • G—PHYSICS
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    • G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
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