Epidemiology and evaluation of breathlessness - A data-driven approach
(2024) In Lund University, Faculty of Medicine Doctoral Dissertation Series
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/e3b2924b-ab07-4940-a4cf-6025dfe738ef
- author
- Olsson, Max LU
- supervisor
- opponent
-
- Professor Jenkins, Christine, Respiratory Group, The George Institute for Global Health, Sydney, Australia
- organization
- publishing date
- 2024
- type
- Thesis
- publication status
- published
- subject
- keywords
- Andfåddhet, maskininlärning, epidmiologi, machine learning, Breathlessnes, Dyspnoea, Dyspné
- in
- Lund University, Faculty of Medicine Doctoral Dissertation Series
- issue
- 2024:101
- pages
- 80 pages
- publisher
- Lund University, Faculty of Medicine
- defense location
- Stora Algatan Hörsal, Stora Algatan 4, Lund
- defense date
- 2024-09-13 13:00:00
- ISSN
- 1652-8220
- ISBN
- 978-91-8021-597-8
- language
- English
- LU publication?
- yes
- id
- e3b2924b-ab07-4940-a4cf-6025dfe738ef
- date added to LUP
- 2024-08-22 10:24:06
- date last changed
- 2024-08-27 11:41:28
@phdthesis{e3b2924b-ab07-4940-a4cf-6025dfe738ef, author = {{Olsson, Max}}, isbn = {{978-91-8021-597-8}}, issn = {{1652-8220}}, keywords = {{Andfåddhet; maskininlärning; epidmiologi; machine learning; Breathlessnes; Dyspnoea; Dyspné}}, language = {{eng}}, number = {{2024:101}}, publisher = {{Lund University, Faculty of Medicine}}, school = {{Lund University}}, series = {{Lund University, Faculty of Medicine Doctoral Dissertation Series}}, title = {{Epidemiology and evaluation of breathlessness - A data-driven approach}}, url = {{https://lup.lub.lu.se/search/files/193747847/Max_Olsson_LUCRIS_thesis.pdf}}, year = {{2024}}, }