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Overcoming challenges in rare disease registry integration using the semantic web - a clinical research perspective
The growing number of disease-specific patient registries for rare diseases has highlighted the need for registry interoperability and data linkage,...
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Correlation Aware Relevance-Based Semantic Index for Clinical Big Data Repository
In this paper, we focus on indexing mechanisms for unstructured clinical big integrated data repository systems. Clinical data is unstructured and...
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AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach
BackgroundAutomated coaches (eCoach) can help people lead a healthy lifestyle (e.g., reduction of sedentary bouts) with continuous health status...
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BertSRC: transformer-based semantic relation classification
The relationship between biomedical entities is complex, and many of them have not yet been identified. For many biomedical research areas including...
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The ontology of fast food facts: conceptualization of nutritional fast food data for consumers and semantic web applications
BackgroundFast food with its abundance and availability to consumers may have health consequences due to the high calorie intake which is a major...
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Evaluating semantic similarity methods for comparison of text-derived phenotype profiles
BackgroundSemantic similarity is a valuable tool for analysis in biomedicine. When applied to phenotype profiles derived from clinical text, they...
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Evaluation of Doc’EDS: a French semantic search tool to query health documents from a clinical data warehouse
BackgroundUnstructured data from electronic health records represent a wealth of information. Doc’EDS is a pre-screening tool based on textual and...
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Exploring the support needs of young adult caregivers, their issues, and preferences towards a web-based tool: a mixed-method study
BackgroundYoung adult caregivers (YACs, aged 18–25) who take care of a loved one may juggle between caregiving responsibilities and other life areas...
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Cognitive, psychological, and physiological effects of a web-based mindfulness intervention in older adults during the COVID-19 pandemic: an open study
BackgroundThe development of effective strategies to maintain good mental health of older adults is a public health priority. Mindfulness-based...
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"Better Living with Non-memory-led Dementia": protocol for a feasibility randomised controlled trial of a web-based caregiver educational programme
BackgroundNon-memory-led dementias such as posterior cortical atrophy (PCA), primary progressive aphasia (PPA) and behavioural variant frontotemporal...
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Expediting knowledge acquisition by a web framework for Knowledge Graph Exploration and Visualization (KGEV): case studies on COVID-19 and Human Phenotype Ontology
BackgroundKnowledges graphs (KGs) serve as a convenient framework for structuring knowledge. A number of computational methods have been developed to...
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Effect of daily new cases of COVID-19 on public sentiment and concern: Deep learning-based sentiment classification and semantic network analysis
AimThis study explored the influence of daily new case videos posted by public health agencies (PHAs) on TikTok in the context of COVID-19...
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A BERT model generates diagnostically relevant semantic embeddings from pathology synopses with active learning
BackgroundPathology synopses consist of semi-structured or unstructured text summarizing visual information by observing human tissue. Experts write...
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Challenges, facilitators and barriers to the adoption and use of a web-based national IRD registry: lessons learned from the IRD-PT registry
Rare disease registries increase research accessibility for patients, while providing clinicians/investigators with a coherent data ecosystem...
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A semantic relationship mining method among disorders, genes, and drugs from different biomedical datasets
BackgroundSemantic web technology has been applied widely in the biomedical informatics field. Large numbers of biomedical datasets are available...
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Augmenting Product Defect Surveillance Through Web Crawling and Machine Learning in Singapore
IntroductionSubstandard medicines are medicines that fail to meet their quality standards and/or specifications. Substandard medicines can lead to...
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Targeting the molecular web of Alzheimer’s disease: unveiling pathways for effective pharmacotherapy
IntroductionAlzheimer’s disease is a neurocognitive disorder that affects elderly people by slowly impaired cognition, dementia, and gets worse with...
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COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization
The COVID-19 global pandemic has resulted in international efforts to understand, track, and mitigate the disease, yielding a significant corpus of...
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Amnestic Mild Cognitive Impairment is Characterized by the Inability to Recover from Proactive Semantic Interference across Multiple Learning Trials
BackgroundDifficulties in inhibition and self-monitoring are early features of incipient Alzheimer’s disease and may manifest as susceptibility to...
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Web-based interactive map** from data dictionaries to ontologies, with an application to cancer registry
BackgroundThe Kentucky Cancer Registry (KCR) is a central cancer registry for the state of Kentucky that receives data about incident cancer cases...
