Predictive analytics is the art of using historical & current data to make projections about what might happen in the future. Learn more for your business.
Using what is known about a patient’s present illnesses, medications, and personal history, AI may discover additional patients within a population cohort that are similar. Machine learning algorithms can detect similarities in EMR data to group together similar patient procedures and develop ...
With Predictive Personalization, for the very first time, you can add the user into the revenue management equation and personalize every touchpoint in the direct booking funnel. After all, hospitality is personal. In the online booking journey,all users look the same With Predictive Personalization...
Privacy-preservation has become an essential concern in many data mining applications since the emergence of legal obligations to protect personal data. Thus, the notion of Privacy-Preserving Data Mining emerged to allow the extraction of knowledge from data without violating the privacy of individuals...
Machine learning and data analytics are being increasingly used for quantitative structure property relation (QSPR) applications in the chemical domain where the traditional Edisonian approach towards knowledge-discovery have not been fruitful. The perce
However, the business is responsible for preserving account security and must act responsibly with the resulting data. Personal information is easily abused and used for fraudulent activities, and the business can be held liable for their failure to maintain privacy and security. ...
Finally, there are ethical considerations that must be taken into account when using big data in predictive analytics. One of the main concerns is privacy. With so much data being collected, there is a risk that personal information could be exposed or misused. Additionally, there is a risk ...
The collection and analysis of vast amounts of data on individuals and communities raise significant privacy issues. There are worries about the potential for mass surveillance, profiling, and the infringement of civil liberties. Citizens may feel uneasy knowing that their personal data is being used...
In particular in the health sector, sensitive personal patient records need to be kept confidential. Privacy of sensitive information can be guaranteed, if it is encrypted by the data owner before being uploaded to a cloud service. In that way, only the legitimate data owner can access the ...
American legal system and building on previous scholarship about due process for public administrative computer systems, this Article argues that individuals affected by Big Data should have similar rights to those in the legal system with respect to how their personal data is used in such ...