PhD defence: Stig Nikolaj Fasmer Blomberg

Can a Computer Through Machine Learning Recognise Out-Of-Hospital Cardiac Arrest During Emergency Calls?Augmenting medical dispatchers through machine learning

Assessment Committee:
Professor Lars Simon Rasmussen (Chairperson)
Professor Erika Frischknecht Christensen
Professor Karen Smith

Supervisors:
Associate Professor Freddy Lippert
Professor Fredrik Foke
Associate Professor Helle Collatz Christensen
Professor Annette Kjær Ersbøll

Department:

Department of Clinical Medicine

Graduate Programme:
Cardiovascular Research

Place:
The defence is conducted as a digital defence with partly physical presence.

To attend the digital defence, please follow the link:

https://zoom.us/j/9047787267?pwd=aGc2S0xwd3FHaGI4MWIyYUlIMmNGUT09 

Instructions if you wish to attend the defence via the digital solution: Please follow the link and hereafter the instructions to download the required Zoom-client. If the Zoom-client is incompatible with your pc, smartphone etc. you can attend via an Internet browser. Log-in in due time before to allow time to install the Zoom-client.

As the defence is held as a partly digital defence with physical presence, we kindly ask guests who do not have an active role in the defence to mute your microphones and leave your cameras turned off during the defence. Questions from the audience will be received through the chat function.

The physical place of the defence:

Rigshospitalet Auditorium 1: Benyt opgang 2 eller 44,
Blegdamsvej 9,
2100 København

Instructions if you wish to attend the defence physically: Send an email to nanna.birch.andersen@regionh.dk asking to be registered.

As the defence is conducted as a digital defence with partly physical presence, we cannot guarantee you to be able to attend the defence physically.  

 

Ask for a copy of the thesis: nikolaj.blomberg@gmail.com