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Akademický článek

Time to exacerbation of heart failure is longer in Malaysian population on dipeptidyl peptidase-4 inhibitor

Autor: J Hasan, R Najme Khir, M A Saman, K S Ibrahim, J R Ismail, R A Ghani, C W Lim, Z Ibrahim, E A Rahman, N Chua, HAZ Abidin, MKM Arshad, S Kasim

Publikováno v: Heart India, Vol 5, Iss 2, Pp 61-67 (2017)

Context: Diabetes mellitus is a recognized risk factor for heart failure. Dipeptidyl peptidase-4 inhibitors (DPP4i) are used in patients with diabetes largely due to its efficacy in glycated hemoglobin (HbA1c) reduction, neutral weight effect, and lo

Externí odkaz: https://doaj.org/article/a28a5260b523468e8dbac6df59a7dc04

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Akademický článek

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Applying an interpretive machine learning algorithm to predict in-hospital mortality in elderly asian patients with acute coronary syndrome (ACS)

Autor: S Kasim, S Malek, K S Ibrahim, D S Kumar

Publikováno v: European Heart Journal. 44

Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Mosti TED1 grant Background No study has used interpretative Machine Learning (ML) algorithms to predict in-hospital mortality for the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bd04ba27f31fc66cb7d68552a9bcf3ee
https://doi.org/10.1093/eurheartj/ehac779.125

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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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Beneficial Effects of Coconut Oil in Treatment of Parkinson’s Disease

Autor: E. M. El-Sayed, K. S. Ibrahim

Publikováno v: Neurophysiology. 52:169-175

Parkinson’s disease (PD) is a heterogeneous neurodegenerative disorder, characterized by depletion of dopamine resulted from the death of dopaminergic neurons in the substantia nigra. The prevalence and incidence of PD is influenced by several fact

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dab0cb165984a8445865ccaffedec658
https://doi.org/10.1007/s11062-020-09866-1

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Knowledge and attitudes amongst internal medicine clinicians in referring valvular heart disease patients : a multi-centre survey study

Autor: R Raja Shariff, K S Ibrahim, H A Zainal Abidin, A B Md Radzi, M H Muhmad Hamidi, H Sani, S Kasim

Publikováno v: European Heart Journal. 43

Funding Acknowledgements Type of funding sources: None. Background With advancement in valvular interventions, outcomes of valvular heart disease (VHD) patients have improved dramatically. However, very little is known regarding levels of knowledge a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1108737fe98ce131b1154feaef5c3ad7
https://doi.org/10.1093/eurheartj/ehab849.106

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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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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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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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