Browsing by Author "Ahmed R"

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A Community-Based Heart Health Intervention: Culture-Centered Study of Low-Income Malays and Heart Health Practices
(Frontiers Media S.A., 2020-03-31) Kaur-Gill S; Dutta MJ; Bashir MB; Ahmed R
This paper reports the formative research findings of a culture-centered heart health intervention with Malay community members belonging to low-income households. The community-based culture-centered intervention entailed working in the grassroots with community stakeholders to tailor a heart health campaign with and for low-income Malay Singaporeans. Community stakeholders designed and developed the heart health communicative infrastructures during six focus group sessions detailed in the results. The intervention included building smoking cessation information accessible to the community, the curation of heart healthy Malay centric recipes, and developing culturally responsive information infrastructures to understand a myocardial infarction. The intervention sought to bridge the gap for the community where there is an absence of culturally-centered communicative infrastructures on heart health.
Editorial: Coronavirus Disease (COVID-19): Pathophysiology, Epidemiology, Clinical Management and Public Health Response
(Frontiers Media S.A., 2021-11-30) Doolan DL; Kozlakidis Z; Zhang Z; Paessler S; Su L; Yokota YT; Shioda T; Rodriguez-Palacios A; Kaynar AM; Ahmed R; Samy A; Bradby H; Kalergis AM; Dutta MJ; Kogut M; Zhang S-Y; Petrosillo N
Editorial: COVID-19: risk communication and blame
(Frontiers Media S.A., 2024-01-05) Bouguettaya A; Ahmed R; Diers-Lawson A; Dutta MJ; Team V; Agarwal V
MIC: Medical Image Classification Using Chest X-ray (COVID-19 & Pneumonia) Dataset with the Help of CNN and Customized CNN
(Association for Computing Machinery, 2025-06-06) Fahad N; Ahmed R; Jahan F; Jamal Sadib R; Morol MK; Jubair MAA
The COVID-19 pandemic has had a detrimental impact on the health and welfare of the world's population. An important strategy in the fight against COVID-19 is the effective screening of infected patients, with one of the primary screening methods involving radiological imaging with the use of chest X-rays. Which is why this study introduces a customized convolutional neural network (CCNN) for medical image classification. This study used a dataset of 6432 images named Chest X-ray (COVID-19 & Pneumonia), and images were preprocessed using techniques, including resizing, normalizing, and augmentation, to improve model training and performance. The proposed CCNN was compared with a convolutional neural network (CNN) and other models that used the same dataset. This research found that the Convolutional Neural Network (CCNN) achieved 95.62% validation accuracy and 0.1270 validation loss. This outperformed earlier models and studies using the same dataset. This result indicates that our models learn effectively from training data and adapt efficiently to new, unseen data. In essence, the current CCNN model achieves better medical image classification performance, which is why this CCNN model efficiently classifies medical images. Future research may extend the model's application to other medical imaging datasets and develop real-time offline medical image classification websites or apps.
Organizational Compliance During COVID-19: Investigating the Effects of Anxiety, Productivity, and Individual Risk Factors Among Iranian Healthcare Employees
(Frontiers Media S.A., 2021-02-08) Rahmani D; Zeng C; Goodarzi AM; Vahid F; Ahmed R
This study investigates the impact of anxiety, productivity, and individual characteristics on employee compliance in an Iranian medical science university during the COVID-19 outbreak. The data of 160 healthcare employees of various professions were collected with reliability and validity on the measurements performed. Two regression tests revealed that higher anxiety reduces and higher productivity increased compliance. Participants with higher education and non-medical professions were found to have higher compliance. Productivity was also found to be positively associated with tenure and having a medical position. Implication and limitation are discussed.