Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Shyue-Yow Chiou"'
Using the Objective Key Result Method to Reduce the Rate of Biomedical Waste in Medical Institutions
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2024 (2024)
Taiwan has been an active participant in waste recycling for a long period of time due to the need for resource sustainability. The country believes it can one day eventually achieve the goal of zero waste through the effective use of strategies such
Externí odkaz:
https://doaj.org/article/0bd92762944840fc8ebcf3835f3667b5
Publikováno v:
Sensors, Vol 24, Iss 12, p 4020 (2024)
Inefficient patient transport in hospitals often leads to delays, overworked staff, and suboptimal resource utilization, ultimately impacting patient care. Existing dispatch management algorithms are often evaluated in simulation environments, raisin
Externí odkaz:
https://doaj.org/article/af711a5ad6dd4e88aeb42f30521f1359
Autor:
Rezzy Eko Caraka, Rung-Ching Chen, Su-Wen Huang, Shyue-Yow Chiou, Prana Ugiana Gio, Bens Pardamean
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-17 (2022)
Abstract Background In heart data mining and machine learning, dimension reduction is needed to remove multicollinearity. Meanwhile, it has been proven to improve the interpretation of the parameter model. In addition, dimension reduction can also in
Externí odkaz:
https://doaj.org/article/7a1e186264de43ddb186455aab2b5942
Autor:
Rezzy Eko Caraka, Rung-Ching Chen, Su-Wen Huang, Shyue-Yow Chiou, Prana Ugiana Gio, Bens Pardamean
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/e3f0a4b71619433ba4bd7deebfab5e21
Autor:
Youngjo Lee, Rung-Ching Chen, Shyue-Yow Chiou, Su-Wen Huang, Rezzy Eko Caraka, Bens Pardamean
Background: In the heart data mining and machine learning, dimension reduction is needed to remove the multicollinearity. Meanwhile, it has been proven to improves the interpretation of the parameter model. In addition, dimension reduction is also ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e51f2b091710890d1065f8a037581064
https://doi.org/10.21203/rs.3.rs-277089/v1
https://doi.org/10.21203/rs.3.rs-277089/v1
Autor:
Rezzy Eko Caraka, Rung-Ching Chen, Su-Wen Huang, Shyue-Yow Chiou, Prana Ugiana Gio, Bens Pardamean
Publikováno v:
BMC medical research methodology. 22(1)
Background In heart data mining and machine learning, dimension reduction is needed to remove multicollinearity. Meanwhile, it has been proven to improve the interpretation of the parameter model. In addition, dimension reduction can also increase th