Journal of Scientometric Research, 2017, 6, 1, 51-53.
Published: May 2017
Type: Research Note
Ronald N. Kostoff*
Research Affiliate, School of Public Policy, Georgia Institute of Technology, USA.
A monograph identifying the full spectrum of actionable Alzheimer’s Disease (AD) contributing factors has been published recently. Elimination of these actionable contributing factors offers the promise of 1) potentially preventing and reversing AD in selected cases, and 2) dramatically lowering AD healthcare costs by circumventing the need for a) expensive high technology AD diagnostics and treatments and b) expensive extended maintenance and care of individuals with AD. The advanced text mining/information retrieval methodology used to identify the AD contributing factors may be of interest to professionals in the areas of text mining, information retrieval, literature-based discovery, text analytics, and big data, while the medical/biomedical findings may be of interest to AD researchers and clinicians, as well as health policy professionals and decision-makers.