Zobrazeno 1 - 10 of 31 pro vyhledávání: '"M. F. Aziz"'
2
30 days mortality prediction and risk factor analysis of Asian patients with ACS using interpretable machine learning algorithm
Autor: S Kasim, S Malek, K S Ibrahim, B F Lim, M F Aziz
Publikováno v: European Heart Journal - Digital Health. 3
Background Thrombolysis in Myocardial Infarction (TIMI) is used to predict the mortality rate in patients with acute coronary syndrome (ACS). TIMI was developed with limited data on the Asian cohort and was based on the Western cohort. STEMI and NSTE
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2df3dd374521b022a6f2f23b8b4db08
https://doi.org/10.1093/ehjdh/ztac076.2783
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5
Machine learning to predict in-hospital mortality risk among heterogenous STEMI patients with diabetes
Autor: S Kasim, S Malek, M F Aziz, K S Ibrahim
Publikováno v: European Heart Journal. 43
Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): TECHNOLOGY DEVELOPMENT FUND 1 Background Diabetes has become a major public health concern in Asia. In Malaysia, the prevalence of dia
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8117562ecec09b5ed392c90e7fc1221d
https://doi.org/10.1093/eurheartj/ehab849.176
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6
Investigating performance of deep learning and machine learning risk stratification of Asian in-hospital patients after ST-elevation myocardial infarction
Autor: S Kasim, S Malek, K S Ibrahim, P N F Amir, M F Aziz
Publikováno v: European Heart Journal - Digital Health. 2
Background Machine learning (ML) algorithm support vector machine (SVM) performed better than Thrombolysis in Myocardial Infarction (TIMI) score for ASIAN STEMI patients. However, Deep Learning (DL) effectiveness in the multiethnic ASIAN population h
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac01c186dc72e8c25ccce2bda6164972
https://doi.org/10.1093/ehjdh/ztab104.3068
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7
Characterization of Hierarchical Porous Materials
Autor: M. F. Aziz, Mohd Asyadi Azam, Nur Ezyanie Safie
Publikováno v: Advanced Functional Porous Materials ISBN: 9783030853969
A pivotal function to verify the synthesis material is to comprehend the hierarchically porous material through the material characterization. This chapter discusses the vital characterization, especially for the as-prepared hierarchically porous mat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fef17f8be6621b5471a5cd3d43d4b296
https://doi.org/10.1007/978-3-030-85397-6_13
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8
ACS mortality prediction in Asian in-hospital patients with deep learning using machine learning feature selection
Autor: S Kasim, S Malek, K S Ibrahim, J H Hiew, M F Aziz
Publikováno v: European Heart Journal. 42
Background Thrombolysis in Myocardial infarction (TIMI) is used in predicting the mortality rate of the acute coronary syndrome (ACS) patients. TIMI was developed based on the Western cohort with limited data on the Asian cohort. There are separate T
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9bd2b346982ec6365ee4bf8e5346f51c
https://doi.org/10.1093/eurheartj/ehab724.3069
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