Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hadi Choubdar"'
Autor:
Hadi Choubdar, Mahdi Mahdavi, Zahra Rostami, Erfan Zabeh, Martin J. Gillies, Alexander L. Green, Tipu Z. Aziz, Reza Lashgari
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Neural oscillatory activities in basal ganglia have prominent roles in cognitive processes. However, the characteristics of oscillatory activities during cognitive tasks have not been extensively explored in human Globus Pallidus internus (G
Externí odkaz:
https://doaj.org/article/ed3bd86b13b04886b3245632eba01dd4
Autor:
Mahdi Mahdavi, Hadi Choubdar, Zahra Rostami, Behnaz Niroomand, Alexandra T. Levine, Alireza Fatemi, Ehsan Bolhasani, Abdol-Hossein Vahabie, Stephen G. Lomber, Yaser Merrikhi
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Medical machine learning frameworks have received much attention in recent years. The recent COVID-19 pandemic was also accompanied by a surge in proposed machine learning algorithms for tasks such as diagnosis and mortality prognosis. Machi
Externí odkaz:
https://doaj.org/article/54dceafe6fea4c4c9a8041a982d4c859
Autor:
Mahdi Mahdavi, Hadi Choubdar, Erfan Zabeh, Michael Rieder, Safieddin Safavi-Naeini, Zsolt Jobbagy, Amirata Ghorbani, Atefeh Abedini, Arda Kiani, Vida Khanlarzadeh, Reza Lashgari, Ehsan Kamrani
Publikováno v:
PLoS ONE, Vol 16, Iss 7, p e0252384 (2021)
Early prediction of patient mortality risks during a pandemic can decrease mortality by assuring efficient resource allocation and treatment planning. This study aimed to develop and compare prognosis prediction machine learning models based on invas
Externí odkaz:
https://doaj.org/article/e888857cfdf94eaca6d63c9c52b33954
Publikováno v:
Computer methods in biomechanics and biomedical engineering.
Early prediction of COVID-19 mortality outcome can decrease expiration risk by alerting healthcare personnel to assure efficient resource allocation and treatment planning. This study introduces a machine learning framework for the prediction of COVI
Autor:
Hadi Choubdar, Mahdi Mahdavi, Zahra Rostami, Erfan Zabeh, Martin J. Gillies, Alexander L. Green, Tipu Z. Aziz, Reza Lashgari
Neural oscillatory activities in basal ganglia have prominent roles in cognitive processes on local and global scales. However, the characteristics of high frequency oscillatory activities during cognitive tasks have not been extensively explored in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d5f9653c4bf9befbec091b3a895175f
https://doi.org/10.1101/2021.12.07.471662
https://doi.org/10.1101/2021.12.07.471662
Autor:
Amirata Ghorbani, Reza Lashgari, Zsolt Jobbagy, Safieddin Safavi-Naeini, Arda Kiani, Ehsan Kamrani, Mahdi Mahdavi, Atefeh Abedini, Vida Khanlarzadeh, Hadi Choubdar, Michael J. Rieder, Erfan Zabeh
Publikováno v:
PLoS ONE, Vol 16, Iss 7, p e0252384 (2021)
PLoS ONE
Paediatrics Publications
PLoS ONE
Paediatrics Publications
Early prediction of patient mortality risks during a pandemic can decrease mortality by assuring efficient resource allocation and treatment planning. This study aimed to develop and compare prognosis prediction machine learning models based on invas
Autor:
Mahdi Mahdavi, Hadi Choubdar, Erfan Zabeh, Michael Rieder, Safieddin Safavi-Naeini, Vida Khanlarzadeh, Zsolt Jobbagy, Amirata Ghorbani, Atefeh Abedini, Arda Kiani, Reza Lashgari, Ehsan Kamrani
With no effective treatment currently available and maximum preventive measures already in place, more interventions in the clinical field are needed to decrease COVID-19 patient mortality. Early prediction of mortality risk in COVID-19 patients can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6ed57e21eb0bc18855bd912825c5a89
https://doi.org/10.21203/rs.3.rs-86363/v1
https://doi.org/10.21203/rs.3.rs-86363/v1