Iram Wajahat

FHIRTrustBench: A Benchmark for Interoperability-Driven Clinical AI Readiness and Trustworthiness

Syed Ahmad Chan Bukhari, Neeam Shahriar Hayder, Iram Wajahat

Abstract Existing evaluations of healthcare AI often treat interoperability as a technical infrastructure issue rather than a factor that directly influences the safety and reliability of clinical AI systems. Yet the quality of Fast Healthcare Interoperability Resources (FHIR) implementation affects whether AI …

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Early Prediction of Multi-Label Care Escalation Triggers in the Intensive Care Unit Using Electronic Health Records

Syed Ahmad Chan Bukhari, Amritpal Singh, Sk Mosaraf Hossain, Iram Wajahat

Intensive Care Unit (ICU) patients often present with complex, overlapping signs of physiological deterioration that require timely escalation of care. Traditional early warning systems, such as SOFA or MEWS, are limited by their focus on single outcomes and fail to capture the …

Accelerating Medical Knowledge Discovery Through Automated Knowledge Graph Generation and Enrichment

Mutahira Khalid, Raihana Rahman, Asim Abbas, Sushama Kumari et autres

de, us, gb (code pays fourni par la source)

Retraction Note: A hybrid machine learning framework to predict mortality in paralytic ileus patients using electronic health records (EHRs)

Fahad Shabbir Ahmed, Liaqat Ali, Raza Ul Mustafa, Hasan Ali Khattak et autres

us, cn, pk, lb (code pays fourni par la source)

A Symbolic AI Framework for Enhanced Diabetes Prognosis Accuracy and Explainability

Iram Wajahat, Amritpal Singh, Fazel Keshtkar, Syed Ahmad Chan Bukhari

Machine learning offers a promising avenue for accurate disease prediction, facilitating early detection and prevention. However, traditional models often grapple with challenges such as the opacity of their decision-making processes and the substantial resources required to improve model explainability. To address these …

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Promoting Transparency and Trust in Biomedical Data: A FAIR Approach to Content Creation and Sharing

Asim Abbas, Sebastian Chalarca, Iram Wajahat, Fazel Keshtkar et autres

Efficient sharing of scientific knowledge is vital for research advancement and reproducibility. However, PDF dominance poses challenges in adhering to FAIR principles (Findability, Accessibility, Interoperability, Reusability). Some web-based frameworks enhance content interoperability using RDF and linked data but often target technical users. …

ie, us (code pays fourni par la source)

Accelerating Medical Knowledge Discovery through Automated Knowledge Graph Generation and Enrichment

Mutahira Khalid, Raihana Rahman, Asim Abbas, Sushama Kumari et autres

Knowledge graphs (KGs) serve as powerful tools for organizing and representing structured knowledge. While their utility is widely recognized, challenges persist in their automation and completeness. Despite efforts in automation and the utilization of expert-created ontologies, gaps in connectivity remain prevalent within …

A Sociotechnical Framework for Semantic Biomedical Content Authoring and Publishing

Steve Fonin Mbouadeu, Asim Abbas, Fazel Keshtkar, Iram Wajahat et autres

Due to the ubiquity of unstructured biomedical data, significant obstacles still remain in achieving accurate and fast access to online biomedical content. In lieu of the growing volume of biomedical content on the web, embedding semantic annotations has become key to enhancing …

in (code pays fourni par la source)

Correction to: A hybrid machine learning framework to predict mortality in paralytic ileus patients using electronic health records (EHRs)

Fahad Shabbir Ahmed, Liaqat Ali, Raza Ul Mustafa, Hasan Ali Khattak et autres

us, cn, pk, lb (code pays fourni par la source)

RETRACTED ARTICLE: A hybrid machine learning framework to predict mortality in paralytic ileus patients using electronic health records (EHRs)

Fahad Shabbir Ahmed, Liaqat Ali, Raza Ul Mustafa, Hasan Ali Khattak et autres

us, cn, pk, lb (code pays fourni par la source)

LDA–GA–SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine

Liaqat Ali, Iram Wajahat, Noorbakhsh Amiri Golilarz, Fazel Keshtkar et autres

cn, pk, us (code pays fourni par la source)