Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Saadia Ajmal"'
Publikováno v:
IEEE Access, Vol 11, Pp 6284-6292 (2023)
In Machine learning and pattern recognition, building a better predictive model is one of the key problems in the presence of big or massive data; especially, if that data contains noisy and unrepresentative data samples. These types of samples adver
Externí odkaz:
https://doaj.org/article/0fb33a6020fb45239d2f41d571cfdc9b
Publikováno v:
Pakistan Armed Forces Medical Journal, Vol 71, Iss 3, Pp 1015-19 (2021)
Objective: To determine diagnostic accuracy of 99mTc labelled Ubiquicidin (29-41) SPECT/CT for detection of osteomyelitis in diabetic foot patients by taking bone biopsy as gold standard. Study Design: Cross-sectional validation study. Place an
Externí odkaz:
https://doaj.org/article/6b99a806a0734bceb40c5e75aac02c41
Publikováno v:
JOURNAL OF NANOSCOPE (JN). 2:231-255
Feature selection (FS) is one of the most important pre-processing tasks in machine learning (ML) and data mining, that selects optimum features by eliminating noisy and irrelevant features from the data; to improve the generalization ability of a le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c289042ce5e2595e30d425711e0934a1
https://doi.org/10.52700/jn.v2i2.49
https://doi.org/10.52700/jn.v2i2.49
Publikováno v:
Pakistan Armed Forces Medical Journal, Vol 71, Iss 3, Pp 1015-19 (2021)
Objective: To determine diagnostic accuracy of 99mTc labelled Ubiquicidin (29-41) SPECT/CT for detection of osteomyelitis in diabetic foot patients by taking bone biopsy as gold standard. Study Design: Cross-sectional validation study. Place and Dura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db4e79968acc197c80b8b456ad4bd953
https://doi.org/10.51253/pafmj.v71i3.4102
https://doi.org/10.51253/pafmj.v71i3.4102