Neuro-net model for early arterial hypertension diagnostics using 24-hour blood pressure monitoring data
Aim. To improve diagnostics of arterial hypertension (AH) at early stages. Material and methods. In 34 relatively healthy individuals and 72 AH patients, 24-hour blood pressure monitoring (BPM) was performed. In all hypertensive patients, no target organ damage was registered, office BP levels were...
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| Format: | Article |
| Language: | Russian |
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«SILICEA-POLIGRAF» LLC
2006-06-01
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| Series: | Кардиоваскулярная терапия и профилактика |
| Subjects: | |
| Online Access: | https://cardiovascular.elpub.ru/jour/article/view/1194 |
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| _version_ | 1849342092175736832 |
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| author | V. G. Vilkov R. G. Oganov S. A. Shalnova |
| author_facet | V. G. Vilkov R. G. Oganov S. A. Shalnova |
| author_sort | V. G. Vilkov |
| collection | DOAJ |
| description | Aim. To improve diagnostics of arterial hypertension (AH) at early stages. Material and methods. In 34 relatively healthy individuals and 72 AH patients, 24-hour blood pressure monitoring (BPM) was performed. In all hypertensive patients, no target organ damage was registered, office BP levels were below 159/94 mm Hg. Results. Using the program imitating artificial neuronal nets, a model was developed that correctly diagnosed early AH stages, by 24-hour BPM data, in people without evident BP increase. Conclusion. Non-linear multiple modeling substantially improved early AH diagnostics in people without evident BP increase at rest. |
| format | Article |
| id | doaj-art-9cc7399876cc4f57a6223e1c12dc7b5a |
| institution | Kabale University |
| issn | 1728-8800 2619-0125 |
| language | Russian |
| publishDate | 2006-06-01 |
| publisher | «SILICEA-POLIGRAF» LLC |
| record_format | Article |
| series | Кардиоваскулярная терапия и профилактика |
| spelling | doaj-art-9cc7399876cc4f57a6223e1c12dc7b5a2025-08-20T03:43:30Zrus«SILICEA-POLIGRAF» LLCКардиоваскулярная терапия и профилактика1728-88002619-01252006-06-01532831906Neuro-net model for early arterial hypertension diagnostics using 24-hour blood pressure monitoring dataV. G. Vilkov0R. G. Oganov1S. A. Shalnova2State Research Center for Preventive Medicine, Federal Agency for Health and Social Development. MoscowState Research Center for Preventive Medicine, Federal Agency for Health and Social Development. MoscowState Research Center for Preventive Medicine, Federal Agency for Health and Social Development. MoscowAim. To improve diagnostics of arterial hypertension (AH) at early stages. Material and methods. In 34 relatively healthy individuals and 72 AH patients, 24-hour blood pressure monitoring (BPM) was performed. In all hypertensive patients, no target organ damage was registered, office BP levels were below 159/94 mm Hg. Results. Using the program imitating artificial neuronal nets, a model was developed that correctly diagnosed early AH stages, by 24-hour BPM data, in people without evident BP increase. Conclusion. Non-linear multiple modeling substantially improved early AH diagnostics in people without evident BP increase at rest.https://cardiovascular.elpub.ru/jour/article/view/1194blood pressurearterial hypertensionearly diagnosticsmodeling |
| spellingShingle | V. G. Vilkov R. G. Oganov S. A. Shalnova Neuro-net model for early arterial hypertension diagnostics using 24-hour blood pressure monitoring data Кардиоваскулярная терапия и профилактика blood pressure arterial hypertension early diagnostics modeling |
| title | Neuro-net model for early arterial hypertension diagnostics using 24-hour blood pressure monitoring data |
| title_full | Neuro-net model for early arterial hypertension diagnostics using 24-hour blood pressure monitoring data |
| title_fullStr | Neuro-net model for early arterial hypertension diagnostics using 24-hour blood pressure monitoring data |
| title_full_unstemmed | Neuro-net model for early arterial hypertension diagnostics using 24-hour blood pressure monitoring data |
| title_short | Neuro-net model for early arterial hypertension diagnostics using 24-hour blood pressure monitoring data |
| title_sort | neuro net model for early arterial hypertension diagnostics using 24 hour blood pressure monitoring data |
| topic | blood pressure arterial hypertension early diagnostics modeling |
| url | https://cardiovascular.elpub.ru/jour/article/view/1194 |
| work_keys_str_mv | AT vgvilkov neuronetmodelforearlyarterialhypertensiondiagnosticsusing24hourbloodpressuremonitoringdata AT rgoganov neuronetmodelforearlyarterialhypertensiondiagnosticsusing24hourbloodpressuremonitoringdata AT sashalnova neuronetmodelforearlyarterialhypertensiondiagnosticsusing24hourbloodpressuremonitoringdata |