Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Fahim Shikder"'
Autor:
Mirza Nishat, Fahim Faisal, Rezuanur Dip, Sarker Nasrullah, Ragib Ahsan, Fahim Shikder, Md. Asif, Md. Hoque
Publikováno v:
EAI Endorsed Transactions on Pervasive Health and Technology, Vol 7, Iss 29 (2021)
INTRODUCTION: Chronic Kidney Disease refers to the slow, progressive deterioration of kidney functions. However, the impairment is irreversible and imperceptible up until the disease reaches one of the later stages, demanding early detection and init
Externí odkaz:
https://doaj.org/article/768e5ad7f9e04406b73637cb2b1abcb0
Autor:
Md. Fahim Shikder, Fahim Faisal, Md. Asfi-Ar-Raihan Asif, Mirza Muntasir Nishat, Rezuanur Rahman Dip, Ragib Ahsan, Mahmudul Hasan Udoy
Publikováno v:
2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI).
This paper implies an investigative approach to study the performance of different boosting algorithms in predicting chronic kidney disease (CKD) more accurately. In recent years, CKD has reached a global prevalence with much severity which can lead
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::753b2983be9646e25dc33bc3bdad7205
https://doi.org/10.1109/sti50764.2020.9350440
https://doi.org/10.1109/sti50764.2020.9350440
Autor:
Mirza Muntasir Nishat, Md. Fahim Shikder, Md. Asfi-Ar-Raihan Asif, Mahmudul Hasan Udoy, Ragib Ahsan, Rezuanur Rahman Dip, Fahim Faisal
Publikováno v:
2020 11th International Conference on Electrical and Computer Engineering (ICECE).
This paper presents a comprehensive study of investigating the performance of different machine learning algorithms in the diagnosis of thyroid disease. Detecting thyroid disease at an early stage is a task of utmost significance because fatal thyroi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b16325537c88d9d778077f63617878a
https://doi.org/10.1109/icece51571.2020.9393054
https://doi.org/10.1109/icece51571.2020.9393054