A Pipeline for Population and Analysis of Personal Health Knowledge Graphs (PHKGs)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F22%3A00364139" target="_blank" >RIV/68407700:21460/22:00364139 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/22:00364139
Result on the web
<a href="https://ceur-ws.org/Vol-3235/paper8.pdf" target="_blank" >https://ceur-ws.org/Vol-3235/paper8.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Pipeline for Population and Analysis of Personal Health Knowledge Graphs (PHKGs)
Original language description
Personal Health Knowledge Graphs (PHKGs) are not yet ubiquitous, even though they have a great potential to enrich general knowledge captured in various Knowledge Graphs by adding personal contexts. This poster paper presents work in progress about a pipeline for generating PHKGs from tree-structured Electronic Health Record (EHR) data by applying a hierarchical ontological approach. This pipeline could also be applied to other domains of Personal Knowledge Graphs. Moreover, this pipeline targets the intersection between the symbolic representation of knowledge used for computational semantics and numeric graph data representation used for graph analysis and machine learning. We present the first results from applying this pipeline to synthetic patient EHRs with the diagnosis of colorectal cancer (based on Synthea). The resulting numeric representation of PHKGs or their subgraphs can be used in many practical graph algorithms. Finally, our pipeline study uncovers future research on how this numeric representation of PHKGs should be embedded into continuous and low-dimensional vector space to utilize graph machine learning and deep learning methods
Czech name
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Czech description
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Classification
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)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
roceedings of Poster and Demo Track and Workshop Track of the 18th International Conference on Semantic Systems co-located with 18th International Conference on Semantic Systems (SEMANTiCS 2022)
ISBN
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ISSN
1613-0073
e-ISSN
1613-0073
Number of pages
5
Pages from-to
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Publisher name
CEUR Workshop Proceedings
Place of publication
Aachen
Event location
Vienna
Event date
Sep 13, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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