Treatment Trajectories Graph Compression Algorithm Based on Cliques...18th International Conference on Wearable Micro and Nano Technologies for Personalized Health (virtual), November 8-10, 2021.
Learning treatment methods and disease progression is significant part of medicine. Graph representation of data provides wide area for visualization and optimization of structure. Present work is dedicated to suggest method of data processing for increasing information interpretability. Graph compr...
| Publicado en: | Studies in Health Technology & Informatics Vol. 285; pp. 300 - 306 |
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| Autores principales: | , |
| Formato: | proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=153525212&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 153525212 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2021 vid: 285 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 153525212 153525212 153525212 10.3233/SHTI210620 153525212 ppf: 300 ppct: 6 formats: tig: atl: Treatment Trajectories Graph Compression Algorithm Based on Cliques...18th International Conference on Wearable Micro and Nano Technologies for Personalized Health (virtual), November 8-10, 2021. aug: au: MILYKH, Svetozar KOVALCHUK, Sergey affil: ITMO University, Saint Petersburg, Russia sug: subj: Algorithms Disease Progression Signal Processing, Computer Assisted Machine Learning Descriptive Statistics Coronary Angiography Human Funding Source ab: Learning treatment methods and disease progression is significant part of medicine. Graph representation of data provides wide area for visualization and optimization of structure. Present work is dedicated to suggest method of data processing for increasing information interpretability. Graph compression algorithm based on maximum clique search is applied to data set with acute coronary syndrome treatment trajectories. Results of compression are studied using graph entropy measures. pubtype: Academic Journal doctype: proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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