Activity: Talk or presentation › Talk at workshop, seminar or course › Science to science
File: application/pdf, 3 MB
Sucessful Machine Learning for Health Informatics requires a comprehensive understanding of the data ecosystem and a multi-disciplinary skill-set, from seven specializations: 1) data science, 2) algorithms, 3) network science, 4) graphs/topology, 5) time/entropy, 6) data visualization and visual analytics, and 7) privacy, data protection, safety and security – as supported by the international expert network HCI-KDD.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Research output: Contribution to journal › Article › Research › peer-review