Výsledky vyhledávání - "Protikuzzaman"

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Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19

Autor: Aktar, Sakifa, Talukder, Ashis, Ahamad, Md. Martuza, Kamal, A. H. M., Khan, Jahidur Rahman, Protikuzzaman, Md., Hossain, Nasif, Quinn, Julian M. W., Summers, Mathew A., Liaw, Teng, Eapen, Valsamma, Moni, Mohammad Ali

Publikováno v: Diagnostics 2021

Background: Providing appropriate care for people suffering from COVID-19, the disease caused by the pandemic SARS-CoV-2 virus is a significant global challenge. Many individuals who become infected have pre-existing conditions that may interact with

Externí odkaz: http://arxiv.org/abs/2008.12683

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Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19

Autor: Sakifa Aktar, Ashis Talukder, Md. Martuza Ahamad, A. H. M. Kamal, Jahidur Rahman Khan, Md. Protikuzzaman, Nasif Hossain, A. K. M. Azad, Julian M. W. Quinn, Mathew A. Summers, Teng Liaw, Valsamma Eapen, Mohammad Ali Moni

Publikováno v: Diagnostics, Vol 11, Iss 8, p 1383 (2021)

Providing appropriate care for people suffering from COVID-19, the disease caused by the pandemic SARS-CoV-2 virus, is a significant global challenge. Many individuals who become infected may have pre-existing conditions that may interact with COVID-

Externí odkaz: https://doaj.org/article/32d5a6f7acf14d97a3546c855f278c00

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Machine Learning Approaches to Identify Patient Comorbidities and Symptoms That Increased Risk of Mortality in COVID-19

Autor: Mohammad Ali Moni, Valsamma Eapen, Mathew A. Summers, Sakifa Aktar, Julian M.W. Quinn, Nasif Hossain, Jahidur Rahman Khan, Teng Liaw, Akm Azad, Protikuzzaman, Ashis Talukder, Md. Martuza Ahamad, A. H. M. Kamal

Publikováno v: Diagnostics
Volume 11
Issue 8
Diagnostics, Vol 11, Iss 1383, p 1383 (2021)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95daf44141b331a16ae1071562dc5347
https://hdl.handle.net/10453/157305

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Predicting Undergraduate Admission: A Case Study in Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Bangladesh

Autor: Mrinal Kanti Baowaly, Md. Protikuzzaman, Maloy Kumar Devnath, Bikash Chandra Singh

Publikováno v: International Journal of Advanced Computer Science and Applications. 11

The university admission tests find the applicant's ability to admit to the desired university. Nowadays, there is a huge competition in the university admission tests. The failure in the admission tests makes an examinee depressed. This paper propos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bca1a510b1947faa095009158dcbb55f
https://doi.org/10.14569/ijacsa.2020.0111217

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