Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Nasrolah Nasr HeidarAbadi"'
Autor:
Nasrolah Nasr HeidarAbadi, Laleh Hakemi, Pirhossein Kolivand, Reza Safdari, Marjan Ghazi Saeidi
Publikováno v:
Electronic Physician, Vol 9, Iss 7, Pp 4847-4852 (2017)
Background and aim: In this study, performances of classification techniques were compared in order to predict type of pain in patients with spinal cord injury. Pain is one of the main problems in people with spinal cord injury. Identifying the opt
Externí odkaz:
https://doaj.org/article/a6ae6841d92646caade207a0170a17b0
Autor:
Marjan Ghazi Saeidi, Reza Safdari, Nasrolah Nasr HeidarAbadi, Pirhossein Kolivand, Laleh Hakemi
Publikováno v:
Electronic Physician
Electronic Physician, Vol 9, Iss 7, Pp 4847-4852 (2017)
Electronic Physician, Vol 9, Iss 7, Pp 4847-4852 (2017)
Background and aim: In this study, performances of classification techniques were compared in order to predict type of pain in patients with spinal cord injury. Pain is one of the main problems in people with spinal cord injury. Identifying the optim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a9f7afe83a9636d561d7d56f274d28c
http://europepmc.org/articles/PMC5587003
http://europepmc.org/articles/PMC5587003
Using artificial intelligence in computerized clinical systems helps physicians diagnose disease or choose treatment. Intelligent methods are constantly changed to be more effective and accurate for quick medical diagnosis. Neural networks are a powe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15dd0260ea8ed3f7f16515855a2d5c5e
