Last week (June 26-July 1) I attended the International Conference on Machine Learning (ICML) in Edinburgh. At the ICML workshop on Machine Learning for Clinical Data Analysis, I presented the following two papers:
- Exploration of Adverse Drug Reactions in Semantic Vector Space Models of Clinical Text by Aron Henriksson, Maria Kvist, Martin Hassel and Hercules Dalianis
- De-identifying health records by means of active learning by Henrik Boström and Hercules Dalianis
The workshop brought together researchers in machine learning, natural language processing and medical informatics who are trying to exploit the availability of large amounts of clinical data in order to improve disease detection, chronic disease management, design of clinical trials and other aspects of health care.
