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pro vyhledávání: '"Rosidah Omar"'
Autor:
Mohamed Zul Fadhli Khairuddin, Suresh Sankaranarayanan, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Rosidah Omar
Publikováno v:
PeerJ Computer Science, Vol 10, p e1985 (2024)
Background This study introduced a novel approach for predicting occupational injury severity by leveraging deep learning-based text classification techniques to analyze unstructured narratives. Unlike conventional methods that rely on structured dat
Externí odkaz:
https://doaj.org/article/5a74ce9898c84e158330cf8332b2dbe1
Autor:
Rosidah Omar, Maznieda Mahjom, Nur Haryanie Haron, Rosmanajihah Mat Lazim, Fadhlin Saffiya Qistina Kamal
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 23; Pages: 15601
This study aimed to examine the characteristics of HCWs infected with COVID-19 and factors associated with healthcare-associated infection. A cross-sectional study, using secondary data of COVID-19 HCW cases from a registry developed by the Occupatio
Publikováno v:
Malaysian Journal of Public Health Medicine. 21:134-140
Thalassaemia and abnormal haemoglobins are the most common genetic disorder worldwide. School-based screening thalassaemia program for form four students was introduced with the objective to screen for the thalassaemia status. There is paucity in the
Autor:
Rosidah Omar
Publikováno v:
TEXILA INTERNATIONAL JOURNAL OF PUBLIC HEALTH. 8:157-163