Workshop Machine Learning for Biomedicine at TU Graz

Holzinger, A. (Speaker)

Activity: Talk or presentation › Talk at workshop, seminar or course › Science to science

Period	26 Jan 2016
Event title	Workshop Machine Learning for Biomedicine at TU Graz
Event type	Conference
Location	Graz, AustriaShow on map

Keywords

Biomedical Informatics
Machine Learning
Knowledge Discovery
HCI-KDD

Fields of Expertise

Information, Communication & Computing

Treatment code (Nähere Zuordnung)

Basic - Fundamental (Grundlagenforschung)

Documents & Links

HOLZINGER-machine-learning-for-biomedical-informatics-20160126
File: application/pdf, 3.05 MB
Type: Other

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.

Related content

Publications
Interactive Machine Learning for Health Informatics: When do we need the human-in-the-loop?
Research output: Contribution to journal › Article › peer-review
The right to be forgotten: Towards Machine Learning on perturbed knowledge bases
Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Visual Analytics for Concept Exploration in Subspaces of Patient Groups: Making Sense of Complex Datasets with the Doctor-in-the-Loop
Research output: Contribution to journal › Article › peer-review