Multiscale Cohort Modeling of Atrial Electrophysiology
An early detection and diagnosis of atrial fibrillation sets the course for timely intervention to prevent potentially occurring comorbidities. Electrocardiogram data resulting from electrophysiological cohort modeling and simulation can be a valuable data resource for improving automated atrial fib...
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| Format: | Online |
| Language: | English |
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KIT Scientific Publishing
2023
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| Online Access: | https://library.oapen.org/handle/20.500.12657/62899 |
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| _version_ | 1869529131104862208 |
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| author | Nagel, Claudia |
| author_browse | Nagel, Claudia |
| author_facet | Nagel, Claudia |
| author_sort | Nagel, Claudia |
| collection | Directory of Open Access Books |
| description | An early detection and diagnosis of atrial fibrillation sets the course for timely intervention to prevent potentially occurring comorbidities. Electrocardiogram data resulting from electrophysiological cohort modeling and simulation can be a valuable data resource for improving automated atrial fibrillation risk stratification with machine learning techniques and thus, reduces the risk of stroke in affected patients. |
| format | Online |
| id | doab-20.500.12854ir-99908.2 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-99908.22024-04-11T20:35:18Z Multiscale Cohort Modeling of Atrial Electrophysiology Nagel, Claudia Electrophysiologische Modellierung und Simulation; Elektrokardiogramm; Maschinelles Lernen; Vorhofflimmern; Statistisches Shape Modell; electrophysiological modeling and simulation; electrocardiogram; machine learning; atrial fibrillation; statistical shape model thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering An early detection and diagnosis of atrial fibrillation sets the course for timely intervention to prevent potentially occurring comorbidities. Electrocardiogram data resulting from electrophysiological cohort modeling and simulation can be a valuable data resource for improving automated atrial fibrillation risk stratification with machine learning techniques and thus, reduces the risk of stroke in affected patients. 2023-07-21T15:26:30Z 2023-05-03T04:01:41Z 2023-07-21T15:26:30Z 2023-05-02T14:43:52Z 2023 book https://library.oapen.org/handle/20.500.12657/62899 9783731512813 https://directory.doabooks.org/handle/20.500.12854/99908.2 eng Karlsruhe transactions on biomedical engineering open access application/octet-stream Attribution-ShareAlike 4.0 International https://library.oapen.org/bitstream/20.500.12657/62899/1/multiscale-cohort-modeling-of-atrial-electrophysiology-risk-stratification-for-atrial-fibrillation-through-machine-learning-on-electrocardiograms.pdf KIT Scientific Publishing 10.5445/KSP/1000155927 10.5445/KSP/1000155927 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731512813 280 open access |
| spellingShingle | Electrophysiologische Modellierung und Simulation; Elektrokardiogramm; Maschinelles Lernen; Vorhofflimmern; Statistisches Shape Modell; electrophysiological modeling and simulation; electrocardiogram; machine learning; atrial fibrillation; statistical shape model thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering Nagel, Claudia Multiscale Cohort Modeling of Atrial Electrophysiology |
| title | Multiscale Cohort Modeling of Atrial Electrophysiology |
| title_full | Multiscale Cohort Modeling of Atrial Electrophysiology |
| title_fullStr | Multiscale Cohort Modeling of Atrial Electrophysiology |
| title_full_unstemmed | Multiscale Cohort Modeling of Atrial Electrophysiology |
| title_short | Multiscale Cohort Modeling of Atrial Electrophysiology |
| title_sort | multiscale cohort modeling of atrial electrophysiology |
| topic | Electrophysiologische Modellierung und Simulation; Elektrokardiogramm; Maschinelles Lernen; Vorhofflimmern; Statistisches Shape Modell; electrophysiological modeling and simulation; electrocardiogram; machine learning; atrial fibrillation; statistical shape model thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering |
| topic_facet | Electrophysiologische Modellierung und Simulation; Elektrokardiogramm; Maschinelles Lernen; Vorhofflimmern; Statistisches Shape Modell; electrophysiological modeling and simulation; electrocardiogram; machine learning; atrial fibrillation; statistical shape model thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering |
| url | https://library.oapen.org/handle/20.500.12657/62899 |
| work_keys_str_mv | AT nagelclaudia multiscalecohortmodelingofatrialelectrophysiology |