Background and motivation: Drug shortages disrupt patient care and hospital operations, while public records lack inventory and procurement data. Problem statement: This study separately evaluates whether U.S. Food and Drug Administration (FDA) shortage histories can rank 90-day recurrence risk and how a status-derived...
Md Raisul Islam Khan, A. al Mamun, Muhtasib Sarker Tahsin· Discover Artificial Intellig...· 0 citations
Hospital pharmacies require short-horizon demand forecasts that remain useful across thousands of medicines with widely different issue volumes. This study evaluates an artificial intelligence (AI)-enabled feature-engineering framework for adaptive decision support using 72 corrected finalised Secondary Care Medicines...
R. Khan, Muhtasib Sarker Tahsin, A. al Mamun· Discover Artificial Intellig...· 0 citations
Deep-learning models can achieve strong chest X-ray (CXR) classification performance without establishing whether their predictions predominantly rely on pulmonary image content. This study evaluates pulmonary attribution containment as an anatomy-related reliability property distinct from diagnostic performance. We pr...
A. al Mamun, Md. Nasif Khansur, Md. Ashraful Hossen Akash et al.· 0 citations
ABSTRACT Background and Aims Proton pump inhibitors (PPIs) are subject to rampant global misuse, posing a significant public health challenge. This issue is particularly acute in low‐ and middle‐income countries like Bangladesh, where preliminary data indicate alarmingly high rates of inappropriate prescribing, driven...
A. al Mamun, M. Awual, K. A. M. Inzamul Islam· Health Science Reports· 0 citations
Supply-chain routing studies can yield apparently optimal solutions that are difficult to audit when source-table compatibility, historical-cost coverage, and disruption assumptions are not reported. This study presents a reproducible decision-analytics workflow that combines a standard mixed-integer linear programming...
Md Raisul Islam Khan, Muhtasib Sarker Tahsin, A. al Mamun· Discover Analytics· 0 citations
Postpartum depression (PPD) poses a major burden on maternal and child health, especially in low- and middle-income countries where prevalence exceeds 19%. Despite advancements in machine learning for PPD prediction, current approaches are limited by opaque global explanations that lack clinical usefulness at the patie...
Mursalin Islam Emon, Soumen Sikder Shuvo, S. Ayon et al.· 0 citations
The advanced retinal disease diagnosing imaging modality, optical coherence tomography (OCT), encounters a lack of automation because of the high expenses for annotations performed by specialists. The use of SSL solves the problem of insufficient annotations using unlabeled B-scans; however, most of the current techniq...
Md. Ashraful Hossen Akash, Shyla Afroge, A. al Mamun et al.· 0 citations
In this study, STEMI patients predominantly presented late with a high burden of cardiovascular risk factors, and while thrombolysis remained the most commonly used and life-saving reperfusion strategy in resource-limited settings, primary PCI was associated with better clinical outcomes, lower complication rates, and...
Qamrul Huda Mohammed Sohel, Sam Husnayen, R. Sultana et al.· Journal of National Institut...· 0 citations
This review provides a critical analysis of the molecular mechanisms governing HuNoV infection, immune evasion, and replication, with a focused emphasis on key antiviral targets, inhibitory strategies, and therapeutic development.
Sadia Islam, Sabbir Zia, Simonto Mirza et al.· Therapeutic Advances in Infe...· 0 citations
An attention-enhanced CNN integrated with Explainable Artificial Intelligence (XAI) to achieve reliable and interpretable driver behavior classification is proposed and can be applied in real-time driver monitoring applications.
A. al Mamun, Md Shahidul Islam Shabuz, Mohamed N. Rahaman et al.· Algorithms· 0 citations
An integrated machine learning framework combining evolutionary optimization, multi-objective optimization, and explainable artificial intelligence (XAI) for BFRC strength prediction and mix design optimization is proposed and incorporates a graphical user interface (GUI) deployment to enhance practical usability and s...
A. al Mamun, M. Aburizaiza, W. Sindi et al.· Materials· 0 citations
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