This article as the title suggests, is a brief description of how predictive analytics could determine if/when you will get Alzheimer’s disease. The researches have a web tool they plug the information in to predict events. Also, to predict other diseases researches are supporting an initiative that would use DNA fingerprints to enhance predictions.
Having patients insert data about themselves and then running that through an Internet based web tool is progressive thinking and could be affective. A way to stimulate the economy but at the same time help the world would be to sell this tool to doctor’s offices. As a patient visits the doctor for their yearly physical they will have the option to put their information through this tool. Previous records of patients could be used but updated information is more accurate. Along with this a doctor’s office could have a database that makes relationships between symptoms and Alzheimer’s to make more in-depth predictions about disease.
DNA fingerprinting to predict neurological disorders is possible but seems expensive and time consuming. The Internet tool previously mentioned seems more affective. With that being said, once software or other tools are created it would be extremely efficient to have. While still being useful it will also be dangerous as most technology has the possibility to be. If everybody participates in this program then their personal information could be hacked or tampered with. Also, this would still be a prediction so it might not work 100% of the time. That could cause serious consequences and even death.
The article more specifically states that DodoNA will test 1,000 patients from NorthShore for eleven studies. Although the initiative is promising, are 1,000 patients enough to make a predication on something as serious as these diseases? Also, because all of the patients are from NorthShore there could be bias results therefore an unsuccessful study.
I feel as if the article overlooked the privacy of the population, applying this concept to the real world efficiently, and how the study would work with random people.
Citation: Bazzoli, Fred. "Predictive Analytics vs Alzheimer's: Clinical Center Examines the Data." Information Management. SourceMedia, 21 Aug. 2015. Web. 5 Oct. 2015.