Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nurulain Ibrahim"'
Autor:
Sazzli Kasim, Putri Nur Fatin Amir Rudin, Sorayya Malek, Khairul Shafiq Ibrahim, Wan Azman Wan Ahmad, Alan Yean Yip Fong, Wan Yin Lin, Firdaus Aziz, Nurulain Ibrahim
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The accurate prediction of in-hospital mortality in Asian women after ST-Elevation Myocardial Infarction (STEMI) remains a crucial issue in medical research. Existing models frequently neglect this demographic's particular attributes, result
Externí odkaz:
https://doaj.org/article/815762e35d6c47e3a32c3fa8b1f12926
Autor:
Sazzli Kasim, Sorayya Malek, Song Cheen, Muhammad Shahreeza Safiruz, Wan Azman Wan Ahmad, Khairul Shafiq Ibrahim, Firdaus Aziz, Kazuaki Negishi, Nurulain Ibrahim
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract Limited research has been conducted in Asian elderly patients (aged 65 years and above) for in-hospital mortality prediction after an ST-segment elevation myocardial infarction (STEMI) using Deep Learning (DL) and Machine Learning (ML). We u
Externí odkaz:
https://doaj.org/article/f9de0cef6ccb425e8163268246101589
Autor:
Sazzli Kasim, Sorayya Malek, Cheen Song, Wan Azman Wan Ahmad, Alan Fong, Khairul Shafiq Ibrahim, Muhammad Shahreeza Safiruz, Firdaus Aziz, Jia Hui Hiew, Nurulain Ibrahim
Publikováno v:
PLoS ONE, Vol 17, Iss 12, p e0278944 (2022)
BackgroundConventional risk score for predicting in-hospital mortality following Acute Coronary Syndrome (ACS) is not catered for Asian patients and requires different types of scoring algorithms for STEMI and NSTEMI patients.ObjectiveTo derive a sin
Externí odkaz:
https://doaj.org/article/5e69aaa9ef8345aca54ca19efce371f1
Autor:
Sazzli Kasim, Putri Nur Fatin Amir Rudin, Sorayya Malek, Khairul Shafiq Ibrahim, Wan Azman Wan Ahmad, Alan Yean Yip Fong, Wan Yin Ling, Firdaus Aziz, Nurulain Ibrahim
Predictions of mortality in Asian women following STEMI have been the subject of limited studies. This study aims to develop and validate prediction models for in-hospital mortality following STEMI in Asian women using machine learning (ML) and stack
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30ecc78742f5834a0a8d35f43503083d
https://doi.org/10.21203/rs.3.rs-2611510/v1
https://doi.org/10.21203/rs.3.rs-2611510/v1
Autor:
Sazzli Shahlan Kasim, Nurulain Ibrahim, Sorayya Malek, Khairul Shafiq Ibrahim, Muhammad Firdaus Aziz, Cheen Song, Yook Chin Chia, Anis Safura Ramli, Kazuaki Negishi, Nafiza Mat Nasir
Publikováno v:
The Lancet Regional Health - Western Pacific. :100742