Machine and human interpretable patient visualizations

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10456092" target="_blank" >RIV/00216208:11320/22:10456092 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11110/22:10456092

Result on the web

<a href="https://doi.org/10.1109/BIBM55620.2022.9995611" target="_blank" >https://doi.org/10.1109/BIBM55620.2022.9995611</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/BIBM55620.2022.9995611" target="_blank" >10.1109/BIBM55620.2022.9995611</a>

Result language

angličtina

Original language name

Machine and human interpretable patient visualizations

Original language description

A growing amount of data is stored in electronic health records, which are crucial for the clinical decision-making process. A large part of these data has a tabular form, consisting of numerical and categorical values originating from various laboratory examinations and sensors. Unlike medical images and clinical notes, tabular data lack higher semantics and, combined with the high dimensionality and heterogeneity, their interpretation by a human is challenging. On the other hand, we have witnessed superior performance of deep convolutional neural network (DCNN) models in the visual medical domain. In this paper, we propose visual representations of complex tabular medical data readable simultaneously by humans and machines. To show that these representations can encode the patient&apos;s data semantics effectively, we use them to fine-tune a DCNN to predict the disability level of patients suffering from multiple sclerosis. Our experiments show that the visual models could match the performance of non-visual models. Moreover, the visual representations add the benefit o f s ummarizing complex information about the patient&apos;s state to a human.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

ISBN

978-1-66546-819-0

ISSN

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e-ISSN

—

Number of pages

3

Pages from-to

3879-3881

Publisher name

IEEE

Place of publication

Albuquerque

Event location

Las Vegas, NV, USA

Event date

Dec 6, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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