Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Subathra Gunasekaran"'
Autor:
Saravanan Srinivasan, Subathra Gunasekaran, Sandeep Kumar Mathivanan, Benjula Anbu Malar M. B, Prabhu Jayagopal, Gemmachis Teshite Dalu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-3 (2024)
Externí odkaz:
https://doaj.org/article/94bce6e41525417b9c8adabd34d48360
Autor:
Saravanan Srinivasan, Subathra Gunasekaran, Sandeep Kumar Mathivanan, Benjula Anbu Malar M. B, Prabhu Jayagopal, Gemmachis Teshite Dalu
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract Heart disease is a significant global cause of mortality, and predicting it through clinical data analysis poses challenges. Machine learning (ML) has emerged as a valuable tool for diagnosing and predicting heart disease by analyzing health
Externí odkaz:
https://doaj.org/article/75e6a3f03a1b4c5c91d281a0f60bde0c
Autor:
Subathra Gunasekaran, Prabin Selvestar Mercy Bai, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Basu Dev Shivahare, Mohd Asif Shah
Publikováno v:
PLoS ONE, Vol 19, Iss 8 (2024)
Externí odkaz:
https://doaj.org/article/b496e8bf45f24cc1a8956df53d21c76e
Autor:
Saravanan Srinivasan, Subathra Gunasekaran, Sandeep Kumar Mathivanan, Prabhu Jayagopal, Muhammad Attique Khan, Areej Alasiry, Mehrez Marzougui, Anum Masood
Publikováno v:
Diagnostics, Vol 13, Iss 8, p 1385 (2023)
We developed a framework to detect and grade knee RA using digital X-radiation images and used it to demonstrate the ability of deep learning approaches to detect knee RA using a consensus-based decision (CBD) grading system. The study aimed to evalu
Externí odkaz:
https://doaj.org/article/f684b14c38884cfe96b7249bd22d4880