A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
iHELP: Personalised Health Monitoring and Decision Support Based on Artificial Intelligence and Holistic Health Records
2021
2021 IEEE Symposium on Computers and Communications (ISCC)
Scientific and clinical research have advanced the ability of healthcare professionals to more precisely define diseases and classify patients into different groups based on their likelihood of responding to a given treatment, and on their future risks. However, a significant gap remains between the delivery of stratified healthcare and personalization. The latter implies solutions that seek to treat each citizen as a truly unique individual, as opposed to a member of a group with whom they
doi:10.1109/iscc53001.2021.9631475
fatcat:nifyvy4dczcd5i7rfh6suazdc4