Machine Learning and Inference Laboratory
Department of Health Administration and Policy
General areas of my research include health informatics, machine learning, knowledge mining, non-Darwinian evolutionary computation, and inductive databases. The most interesting part is how to combine these areas and, for example, use knowledge mining to support discovery in healthcare. Currently I am involved in several projects including development of the AQ21 rule learning system, machine learning-based meta-analysis, and the learnable evolution model (my dissertation was in this area). I am also involved in projects on building computational intelligence and machine learning virtual community, developing learning capabilities in distributed autonomous logistic systems, and intelligent optimization in engineering design.
To learn about research interests of the Machine Learning and Inference Laboratory, please click here. The website includes descriptions of most of the mentioned projects. You can find additional information in my publications, or general MLI publications. If you have further questions, feel free to contact me.
|Copyright © Janusz Wojtusiak 2010|