16 hasil untuk "Muhammad Amith"
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Artikel Jurnal
Modulated evaluation metrics for drug-based ontologies
Abstract Background Research for ontology evaluation is scarce. If biomedical ontological datasets and knowledgebases are to be widely used, there needs to be quality control and evaluation for the content and structure of the ontology. This paper introduces how to effectively utilize a…
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Representing vaccine misinformation using ontologies
Abstract Background In this paper, we discuss the design and development of a formal ontology to describe misinformation about vaccines. Vaccine misinformation is one of the drivers leading to vaccine hesitancy in patients. While there are various levels of vaccine hesitancy to combat and specific…
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Conceiving an application ontology to model patient human papillomavirus vaccine counseling for dialogue management
Abstract Background In the United States and parts of the world, the human papillomavirus vaccine uptake is below the prescribed coverage rate for the population. Some research have noted that dialogue that communicates the risks and benefits, as well as patient concerns, can improve the uptake…
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Friend of a Friend with Benefits ontology (FOAF+): extending a social network ontology for public health
Abstract Background Dyadic-based social networks analyses have been effective in a variety of behavioral- and health-related research areas. We introduce an ontology-driven approach towards social network analysis through encoding social data and inferring new information from the data. Methods The…
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The ontology of fast food facts: conceptualization of nutritional fast food data for consumers and semantic web applications
Abstract Background Fast food with its abundance and availability to consumers may have health consequences due to the high calorie intake which is a major contributor to life threatening diseases. Providing nutritional information has some impact on consumer decisions to self regulate and promote…
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Artikel Jurnal
Lightweight predicate extraction for patient-level cancer information and ontology development
Abstract Background Knowledge engineering for ontological knowledgebases is resource and time intensive. To alleviate these issues, especially for novices, automated tools from the natural language domain can assist in the development process of ontologies. We focus towards the development of…
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An application-based ontological knowledge base of medications to support health literacy and adherence for the consumer population: an aging population use case
Abstract Background The geriatric population is a vulnerable population that has higher rate of chronic disease and represents the largest portion of healthcare delivered. This population is vulnerable to medication non-adherence. Patient medication non-adherence is a problem that can lead to…
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Artikel Jurnal
A Semantic Approach to Describe Social and Economic Characteristics That Impact Health Outcomes (Social Determinants of Health): Ontology Development Study
BackgroundSocial determinants of health (SDoH) have been described by the World Health Organization as the conditions in which individuals are born, live, work, and age. These conditions can be grouped into 3 interrelated levels known as macrolevel (societal), mesolevel (community), and microlevel…
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Architecture and usability of OntoKeeper, an ontology evaluation tool
Abstract Background The existing community-wide bodies of biomedical ontologies are known to contain quality and content problems. Past research has revealed various errors related to their semantics and logical structure. Automated tools may help to ease the ontology construction, maintenance…
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Understanding Information Needs and Barriers to Accessing Health Information Across All Stages of Pregnancy: Systematic Review
BackgroundUnderstanding consumers’ health information needs across all stages of the pregnancy trajectory is crucial to the development of mechanisms that allow them to retrieve high-quality, customized, and layperson-friendly health information. ObjectiveThe objective of this study was to identify…
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Artikel Jurnal
Kinetic Human Movement Ontology: a semantic terminology model to symbolically represent physiological movement
Abstract Cataloging physiological and anatomical terminologies may provide a fundamental basis for bridging the involvement of muscles, skeletal, and other essential parts in human movement, in addition to understanding their role on human morbidity. We present a general formalized ontology model…
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Artikel Jurnal
Recognizing software names in biomedical literature using machine learning
Software tools now are essential to research and applications in the biomedical domain. However, existing software repositories are mainly built using manual curation, which is time-consuming and unscalable. This study took the initiative to manually annotate software names in 1,120 MEDLINE…
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Using Machine Learning–Based Approaches for the Detection and Classification of Human Papillomavirus Vaccine Misinformation: Infodemiology Study of Reddit Discussions
BackgroundThe rapid growth of social media as an information channel has made it possible to quickly spread inaccurate or false vaccine information, thus creating obstacles for vaccine promotion. ObjectiveThe aim of this study is to develop and evaluate an intelligent automated protocol for…
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Artikel Jurnal
Conversational ontology operator: patient-centric vaccine dialogue management engine for spoken conversational agents
Abstract Background Previously, we introduced our Patient Health Information Dialogue Ontology (PHIDO) that manages the dialogue and contextual information of the session between an agent and a health consumer. In this study, we take the next step and introduce the Conversational Ontology Operator…
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Developing provider digital twins for personalized provider-patient communication via a RAG-based conversational framework
Digital twins have emerged as a paradigm in precision and personalized medicine, enabling data-driven modeling of individuals to support tailored interventions. While most existing work focuses on patient-oriented twins, little attention has been given to modeling the provider’s role, particularly…
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Artikel Jurnal
Mining HPV Vaccine Knowledge Structures of Young Adults From Reddit Using Distributional Semantics and Pathfinder Networks
The human papillomavirus (HPV) vaccine protects adolescents and young adults from 9 high-risk HPV virus types that cause 90% of cervical and anal cancers and 70% of oropharyngeal cancers. This study extends our previous research analyzing online content concerning the HPV vaccination in social…