What if you could know about his death, would you pay to see the dates on the headstone?
Researchers at the University of East Anglia in the UK are launching a study that can make this more real nightmare, and revolutionize the insurance industry.
In four years of research, they have developed an algorithm to determine the life expectancy and predict chronic diseases and their treatments.
The logic of this death watch is simple: together information about how we live with big data to know when the hands will stop.
Scientists are interested in factors that affect longevity, such as health, life choices, workload and medical conditions.
More to kill the curiosity to know the actual expiration date and plan what to do with the rest of the day, the study is being seen as an important tool for insurers to evaluate customers and expand the types and characteristics of services they can offer.
But, you see, does not mean that you will know the day and the exact time of his own death, but the set of information gathered by big data will be able to estimate their longevity to tailor life insurance, for example.
Even a group of Aviva insurance giant experts assisted the researchers in medical fields and computer science to develop the algorithm.
If the timer life expectancy is more profit for insurance companies, it can also serve for the authorities to improve the management of pension funds.
And of course, the quality of public health. The team behind the study believe that with the estimate of the obituary in hand, doctors will be able to diagnose and advise their patients more accurately.
"People around the world are living longer. We want to identify the key factors for mortality and develop software with information provided by health professionals to give better longevity predictions," says the teacher responsible for research, Elena Kulinskaya. It is the big data adding the details of our funeral procession.
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