A novel method for dipper/non-dipper pattern classification in hypertensive and non-diabetic patients

Author:

Altikardes Zehra Aysun1,Kayikli Abdulkadir2,Korkmaz Hayriye3,Erdal Hasan3,Baba Ahmet Fevzi3,Fak Ali Serdar4

Affiliation:

1. Department of Computer Technologies, Vocational School of Technical Sciences, Marmara University, Istanbul, Turkey

2. Hayriya Informatics and Health Technologies Inc., Tubitak Gebze campus Kocaeli, Turkey

3. Department of Electrical and Electronics Engineering, Faculty of Technology, Marmara University, Istanbul, Turkey

4. Hypertension and Atherosclerosis Center, Marmara University, Istanbul, Turkey

Publisher

IOS Press

Subject

Health Informatics,Biomedical Engineering,Information Systems,Biomaterials,Bioengineering,Biophysics

Reference25 articles.

1. Central Systolic Hypertension in Patients with Well-Controlled Hypertension,;Jozef Bulas;BioMed Research International,2017

2. Davis KE. Expenditures for hypertension among adults age 18 and older. 2008: Estimates for the US civilian noninstitutionalized population. Medical Expenditure Panel Survey (Agency for Healthcare Research and Quality). 2011: 2.

3. The clinical significance of diurnal blood pressure variations;Pickering;Dippers and nondippers. Circulation.,1990

4. Altikardes ZA, Erdal H, Baba AF, Fak AS, Kokmaz H, editors. Performance evaluation of classification algorithms by excluding the most relevant attributes for dipper/non-dipper pattern estimation in Type-2 DM patients. Intelligent Systems Design and Applications (ISDA), 2015 15th International Conference on; 2015: IEEE. doi 10.1109/ISDA.2015.7489197

5. Evaluation of Tp-e interval and Tp-e/QT ratio in patients with nondipper hypertension;Demir;Journal of the American College of Cardiology.,2013

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