Publication: Modelling sudden deaths following myocardial infarction in Malaysia
dc.Conferencecode | 137617 | |
dc.Conferencedate | 27 August 2017 through 29 August 2017 | |
dc.Conferencename | 25th National Symposium on Mathematical Sciences: Mathematical Sciences as the Core of Intellectual Excellence, SKSM 2017 | |
dc.FundingDetails | Ministry of Higher Education, Malaysia International Islamic University Malaysia: USIM/RAGS/FST/36/50115 | |
dc.FundingDetails | The authors gratefully acknowledge all the supports and funds provided by Ministry of Education Malaysia under a research grant to Faculty of Science and Technology, UniversitiSains Islam Malaysia with a grant number USIM/RAGS/FST/36/50115. | |
dc.contributor.affiliations | Faculty of Science and Technology | |
dc.contributor.affiliations | Universiti Sains Islam Malaysia (USIM) | |
dc.contributor.author | Halim M.H.A. | en_US |
dc.contributor.author | Yusoff Y.S. | en_US |
dc.contributor.author | Yusuf M.M. | en_US |
dc.date.accessioned | 2024-05-29T01:55:10Z | |
dc.date.available | 2024-05-29T01:55:10Z | |
dc.date.issued | 2018 | |
dc.description.abstract | The first 30 days after the onset of myocardial infarction (MI), also known as heart attack, is very crucial for the patients, as the risk of deaths during the period of time is considerably high. Using logistic regression, we will model the deaths within 30 days following MI, and see how the MI risk factors affect the probability of sudden deaths. A dataset for the regression consists of 28420 patients from several hospitals in Malaysia, provided by National Cardiovascular Disease Database (NCVD). The risk factors studied in this paper are age, gender, year of onset, smoking habit, BMI, diabetes, hypertension, and cholesterol level. The regression results show that the risk of sudden deaths increase with age and diabetes, while BMI, hypertension and cholesterol level have inverse effects on sudden deaths rate. There are no significant changes in the sudden deaths rate observed for different gender, smoking habits and the year of onset. � 2018 Author(s). | |
dc.description.nature | Final | en_US |
dc.editor | Maidinsah H.Sharif S.R.Rahman W.E.Z.W.A.Akbarally A.B.Mohamed M.Mohamad D.Jaffar M.M. | en_US |
dc.identifier.ArtNo | 40007 | |
dc.identifier.doi | 10.1063/1.5041681 | |
dc.identifier.isbn | 9780740000000 | |
dc.identifier.issn | 0094243X | |
dc.identifier.scopus | 2-s2.0-85049775689 | |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049775689&doi=10.1063%2f1.5041681&partnerID=40&md5=cf67ebd3bca86e02138b61dfcf2b6a8c | |
dc.identifier.uri | https://oarep.usim.edu.my/handle/123456789/9646 | |
dc.identifier.volume | 1974 | |
dc.language | English | |
dc.language.iso | en_US | |
dc.publisher | American Institute of Physics Inc. | en_US |
dc.relation.ispartof | AIP Conference Proceedings | |
dc.source | Scopus | |
dc.subject | Logistic regression | en_US |
dc.subject | Myocardial infarction | en_US |
dc.subject | Risk factors | en_US |
dc.subject | Sudden death | en_US |
dc.title | Modelling sudden deaths following myocardial infarction in Malaysia | |
dc.type | Conference Paper | en_US |
dspace.entity.type | Publication |