Minisymposium (ID: SS-CDAHS)

Complex Data Analysis in Health Science

Sunny Wang (Wilfrid Laurier University), Giseon Heo (University of Alberta)

Analyzing and modelling complex data generated from health sciences is challenging. The data usually are high dimensional with not only big “n”, but also big “p”. The talks in this session will discuss newly developed tools of learning and modelling facial data, generic data and data from pharmaceutical companies.

Please note the ID code assigned to your presentation (identical to the ID code of your accepted abstract). It is required for submitting your paper for the AMMCS-2017 Proceedings. Submission is not mandatory. All submitted papers will be refereed and only accepted papers will be published in the AMMCS-2017 Proceedings.

If you intend to submit your paper, please go to the AMMCS-2017 Proceedings Page. Follow exactly the Author Instructions accessible from that page.