Items where Author is "Shamsoddini, Ali"
![[up]](/style/images/multi_up.png)
Up a levelchronic obstructive pulmonary disease
Mohammadi, Alireza, Mashhoodi, Bardia 
ORCID: https://orcid.org/0000-0002-7037-3932, Shamsoddini, Ali, Pishgar, Elahe and Bergquist, Robert
(2025)
Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning.
Geospatial Health, 20 (1):1319.
ISSN 1827-1987 (Print), 1970-7096 (Online)
(doi:10.4081/gh.2025.1319)
forest-based classification and regression model
Mohammadi, Alireza, Mashhoodi, Bardia ORCID: https://orcid.org/0000-0002-7037-3932, Shamsoddini, Ali, Pishgar, Elahe and Bergquist, Robert
(2025)
Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning.
Geospatial Health, 20 (1):1319.
ISSN 1827-1987 (Print), 1970-7096 (Online)
(doi:10.4081/gh.2025.1319)
geographic information systems
Mohammadi, Alireza, Mashhoodi, Bardia ORCID: https://orcid.org/0000-0002-7037-3932, Shamsoddini, Ali, Pishgar, Elahe and Bergquist, Robert
(2025)
Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning.
Geospatial Health, 20 (1):1319.
ISSN 1827-1987 (Print), 1970-7096 (Online)
(doi:10.4081/gh.2025.1319)
predictive modelling
Mohammadi, Alireza, Mashhoodi, Bardia ORCID: https://orcid.org/0000-0002-7037-3932, Shamsoddini, Ali, Pishgar, Elahe and Bergquist, Robert
(2025)
Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning.
Geospatial Health, 20 (1):1319.
ISSN 1827-1987 (Print), 1970-7096 (Online)
(doi:10.4081/gh.2025.1319)
remote sensing data
Mohammadi, Alireza, Mashhoodi, Bardia ORCID: https://orcid.org/0000-0002-7037-3932, Shamsoddini, Ali, Pishgar, Elahe and Bergquist, Robert
(2025)
Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning.
Geospatial Health, 20 (1):1319.
ISSN 1827-1987 (Print), 1970-7096 (Online)
(doi:10.4081/gh.2025.1319)
spatial correlation
Mohammadi, Alireza, Mashhoodi, Bardia ORCID: https://orcid.org/0000-0002-7037-3932, Shamsoddini, Ali, Pishgar, Elahe and Bergquist, Robert
(2025)
Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning.
Geospatial Health, 20 (1):1319.
ISSN 1827-1987 (Print), 1970-7096 (Online)
(doi:10.4081/gh.2025.1319)
United States
Mohammadi, Alireza, Mashhoodi, Bardia ORCID: https://orcid.org/0000-0002-7037-3932, Shamsoddini, Ali, Pishgar, Elahe and Bergquist, Robert
(2025)
Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning.
Geospatial Health, 20 (1):1319.
ISSN 1827-1987 (Print), 1970-7096 (Online)
(doi:10.4081/gh.2025.1319)