Master Thesis: Practical Use of ML in the Fight Against COVID-19

Mr Bogdan Laban, a master student at the University of Donja Gorica, defended his Master thesis titled “Practical Use of Machine Learning in the Fight Against COVID-19”. The thesis was done at the Master academic studies “Information Management in Health Care” at the Faculty of International Economics, Finance and Business, under the supervision of his mentor prof. dr Tomo Popovic.

Mr. Bogdan Laban defended his MSc thesis on the use of ML to fight COVID-19
The presentation included interested real-life examples

ABSTRACT – This study aims to find applicable combination of recent AI technologies and its uses during the COVID-19 pandemic. As AI has shown great improvements in the last few years, with many new feature-filled tools out on the market, it is almost certain that AI can help find ways to circumvent the dangers of COVID-19, in the form of noticing it, and preventing it. Authors cited in this work are AI professional, specializing in neural networks and their appliances in real world, in the form of visual processing and understanding, which will provide me with a solid hypothesis to base my master thesis on.

As this pandemic still has a solid grasp on the world, especially on less developed countries like Montenegro, I believe it makes a great testing ground for attributes like – percentage of people abiding pandemic specific laws (social distancing, mask wearing, etc.). Unfortunately, people of Montenegro are very divided on this issue, ranging from avid abiders, to those who completely ignore all safety procedures, even the most basic ones. As such, I believe this study will provide me with an insight into the right tools and tests for the residents of Montenegro, which vary a lot.

Another Master Thesis in Applied Machine Learning