Elias Hossain, Rajib Rana, Niall Higgins, Jeffrey Soar et al.
BACKGROUND Natural Language Processing (NLP) is widely used to extract clinical insights from Electronic Health Records (EHRs). However, the lack of annotated data, automated tools, and other challenges hinder the full utilisation of NLP for EHRs. Various Machine Learning (ML), Deep Learning (DL) an...
S. Janifer Jabin Jui, A. A. Masrur Ahmed, Aditi Bose, Nawin Raj et al.
Crop yield forecasting is critical for enhancing food security and ensuring an appropriate food supply. It is critical to complete this activity with high precision at the regional and national levels to facilitate speedy decision-making. Tea is a big cash crop that contributes significantly to econ...
Rakia Ishra, Rasheda Khanam, Jeffrey Soar
Food contamination and food adulteration are widely known public health issues in Bangladesh. This research explores consumers' perceptions of food hazards and safe food purchasing strategies. The study uses data from a survey of 450 primary household food purchasers in an urban supermarket and two ...
Shuting Xu, Ravinesh C. Deo, Jeffrey Soar, Prabal Datta Barua et al.
BACKGROUND AND OBJECTIVE Obstructive airway diseases, including asthma and Chronic Obstructive Pulmonary Disease (COPD), are two of the most common chronic respiratory health problems. Both of these conditions require health professional expertise in making a diagnosis. Hence, this process is time i...
Sojaul Islam, Ravinesh C. Deo, Prabal Datta Barua, Jeffrey Soar et al.
Glaucoma is a leading cause of irreversible blindness worldwide, yet early detection can prevent vision loss. This paper proposes a novel deep learning approach that combines two ophthalmic imaging modalities, fundus photographs and optical coherence tomography scans, as paired images from the same ...
Rakia Ishra, Rasheda Khanam, Jeffrey Soar, Saif Sharif
The COVID-19 pandemic reshaped every aspect of life, including food safety. Understanding food safety behaviour at home is necessary for developing effective strategies to mitigate foodborne disease during and after this pandemic. This study administered a cross-sectional survey among 503 domestic f...
Rakia Ishra, Saif Sharif, Jeffrey Soar, Rasheda Khanam
Purpose Since the COVID-19 pandemic had a significant impact on all facets of civilisation around the world, including food safety, this study aimed to determine and compare the pre-COVID and post-COVID food safety knowledge of Bangladeshi consumers and their association with sociodemographic variab...
Rakia Ishra, Saif Sharif, Jeffrey Soar, Rasheda Khanam
Rakia Ishra, Saif Sharif, Jeffrey Soar, Rasheda Khanam
ABSTRACT This study aimed to determine the serial mediation effects of behavior‐specific risk perception (BRP) and attitude (ATT) toward food safety on the relationship between food safety knowledge (FSK) and self‐reported practice (FSP) among adult consumers in Bangladesh. This study conducted a cr...