Title:
Prevention and reversal of Alzheimer's disease: treatment protocol
Prevention and reversal of Alzheimer's disease: treatment protocol
dc.contributor.author | Kostoff, Ronald N. | |
dc.contributor.author | Porter, Alan L. | |
dc.contributor.author | Buchtel, Henry A. | |
dc.contributor.corporatename | Georgia Institute of Technology. School of Public Policy | en_US |
dc.contributor.corporatename | University of Michigan. Department of Psychiatry | en_US |
dc.date.accessioned | 2018-01-23T20:40:45Z | |
dc.date.available | 2018-01-23T20:40:45Z | |
dc.date.issued | 2018-01-23 | |
dc.description | The scope of the study is to develop a protocol to prevent and reverse Alzheimer's Disease. There are three components to the data file. The main component is a narrative monograph, and is presented in pdf format. Another component is an Excel workbook that contains all the figures in Excel. A third component is supplementary material, consisting mainly of bibliographic references, but some query development as well. This latter component is in pdf format as well. | en_US |
dc.description.abstract | This monograph presents a five-step treatment protocol to prevent and reverse Alzheimer's Disease (AD), based on the following systemic medical principle: at the present time, removal of cause is a necessary, but not necessarily sufficient, condition for restorative treatment to be effective. The five treatment protocol steps are as follows: Step 1 - obtain a detailed medical and habit/exposure history from the patient; Step 2 - administer written and clinical performance and behavioral tests to assess the severity of the higher-level symptoms and degradation of executive functions; Step 3 - administer laboratory tests (blood, urine, imaging, etc.); Step 4 - eliminate ongoing AD contributing factors; Step 5 - implement AD treatments. This individually-tailored AD treatment protocol can be implemented with the data available in the biomedical literature presently. Additionally, while the methodology developed for this study was applied to AD, it is general and applicable to any chronic disease that, like AD, has an associated substantial research literature. Thus, the protocol and methodology we have developed to prevent or reverse AD can be used to prevent or reverse any chronic disease (with the possible exceptions of individuals with strong genetic predispositions to the disease in question or who have suffered irreversible damage from the disease).***NOTE***There are four files in this record. Presently, they are located in the left column of this Web page listed under the heading View/Open. MONOGRAPH_FINAL.pdf contains the monograph narrative; FIGURES_FINAL.xlsx contains the figures from the monograph in Excel spreadsheet format; SUPPLEMENTARY_FINAL.pdf contains supplementary bibliography and queries; and README.pdf is the ReadMe file. The two data files are referenced in the monograph as either "(see file FIGURES_FINAL.xlsx)" or "(see file SUPPLEMENTARY_FINAL.pdf)". | en_US |
dc.identifier.uri | http://hdl.handle.net/1853/59311 | |
dc.language.iso | en_US | en_US |
dc.publisher | Georgia Institute of Technology | en_US |
dc.rights | This work is licensed under a Creative Commons Attribution 4.0 International License. | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Alzheimer's disease | en_US |
dc.subject | Dementia | en_US |
dc.subject | Text mining | en_US |
dc.subject | Literature-based discovery | en_US |
dc.subject | Information technology | en_US |
dc.subject | Treatments | en_US |
dc.title | Prevention and reversal of Alzheimer's disease: treatment protocol | en_US |
dc.type | Dataset | en_US |
dspace.entity.type | Publication | |
local.contributor.author | Porter, Alan L. | |
local.contributor.corporatename | School of Public Policy | |
local.contributor.corporatename | Ivan Allen College of Liberal Arts | |
relation.isAuthorOfPublication | c1d2e529-66b8-4041-aa69-0d51fd33b7b9 | |
relation.isOrgUnitOfPublication | a3789037-aec2-41bb-9888-1a95104b7f8c | |
relation.isOrgUnitOfPublication | b1049ff1-5166-442c-9e14-ad804b064e38 |
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- SUPPLEMENTARY_FINAL.pdf
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