Publications by authors named "Firdaus Aziz"

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Predicting medication wastage using machine learning based on patient beliefs.
Firdaus Aziz, Sorayya Malek, Shubathira Sooriamoorthy, Ilham Asyilah Mahamood, Chong Wei Wen

Digit Health· July 2025

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Preliminary study: Data analytics for predicting medication adherence in Malaysian arthritis patients.
Firdaus Aziz, Shubathira Sooriamoorthy, Bryan Liew, Sharifah M Syed Ahmad, Wei Wen Chong

Digit Health· February 2025

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Ensemble machine learning for predicting in-hospital mortality in Asian women with ST-elevation myocardial infarction (STEMI).
Sazzli Kasim, Putri Nur Fatin Amir Rudin, Sorayya Malek, Khairul Shafiq Ibrahim, Wan Azman Wan Ahmad, Firdaus Aziz

Sci Rep· May 2024

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Performance evaluation of Gallium-68 radiopharmaceuticals production using liquid target PETtrace 800 cyclotron.
Zarif Ashhar, Muhammad Fakhrurazi Ahmad Fadzil, Zaitulhusna Md Safee, Firdaus Aziz, Ummi Habibah Ibarhim, Muhammad Ali Hazizi Jamal Harizan

Appl Radiat Isot· March 2024

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Data analytics approach for short- and long-term mortality prediction following acute non-ST-elevation myocardial infarction (NSTEMI) and Unstable Angina (UA) in Asians.
Sazzli Kasim, Putri Nur Fatin Amir Rudin, Sorayya Malek, Firdaus Aziz, Wan Azman Wan Ahmad

PLoS One· February 2024

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In-hospital mortality risk stratification of Asian ACS patients with artificial intelligence algorithm.
Sazzli Kasim, Sorayya Malek, Cheen Song, Wan Azman Wan Ahmad, Alan Fong, Firdaus Aziz

PLoS One· December 2022

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In-hospital risk stratification algorithm of Asian elderly patients.
Sazzli Kasim, Sorayya Malek, Song Cheen, Muhammad Shahreeza Safiruz, Wan Azman Wan Ahmad, Firdaus Aziz

Sci Rep· October 2022

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Short- and long-term mortality prediction after an acute ST-elevation myocardial infarction (STEMI) in Asians: A machine learning approach.
Firdaus Aziz, Sorayya Malek, Khairul Shafiq Ibrahim, Raja Ezman Raja Shariff, Wan Azman Wan Ahmad

PLoS One· November 2021

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Determining hypertensive patients' beliefs towards medication and associations with medication adherence using machine learning methods.
Firdaus Aziz, Sorayya Malek, Adliah Mhd Ali, Mee Sieng Wong, Mogeeb Mosleh

PeerJ· March 2020

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