Machine Learning Methods for Medical Data Analysis

In this presentation, we discuss our experiences with the application of machine learning techniques and particularly neural networks in order to assess nasal breathing, identify possible health issues and in this way support decision making of a medical professional. As part of this task, we show how computer vision methods can augment available data and incorporate geometry of a nasal space into the learning process. In addition, we explore the problem of automatic retrieval of semantic annotations from medical images and reports. Finally, we compare a number of machine learning approaches and make suggestions on their applicability in the medical context.

Biography

Dr Oleksii Turuta is an associate professor at the Department of Software Engineering in the Kharkiv National University of Radioelectronics, Ukraine. Oleksii investigates machine learning techniques with a particular focus on the medical domain.

Date & time

11am–12pm 4 Aug 2017

Location

Speakers

Dr Oleksii Turuta, Department of Software Engineering in the Kharkiv National University of Radioelectronics, Ukraine

Updated:  10 August 2021/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing