Formula for improved prediction on susceptibility of Alzheimer's disease based on biomarkers with the addition of its associated risk factors
Alzheimer's disease (AD) is the most common form of dementia due to progressive and fatal brain disease. In this work a standard set of mathematical equations in the form of percentage is defined to predict susceptibility of AD on patient candidates. Two parameters were used as a basis for AD p...
| Published in: | 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
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2009
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-76249107772&doi=10.1109%2fISIEA.2009.5356331&partnerID=40&md5=109c2ead606d00c9ff4f1f6c192fe0da |
| Summary: | Alzheimer's disease (AD) is the most common form of dementia due to progressive and fatal brain disease. In this work a standard set of mathematical equations in the form of percentage is defined to predict susceptibility of AD on patient candidates. Two parameters were used as a basis for AD prediction; the biomarker and risk factor. Datasets used in this work are based entirely from those obtained from papers, journals and books which contain percentage data type for biomarkers and risk factors of AD. Data used in this studies are based on those available within developed and transition economic countries. © 2009 IEEE. |
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| DOI: | 10.1109/ISIEA.2009.5356331 |