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Articles by Muhammad Amith
Hootation: A GUI and API library for ontology validation and verbalization.
Faculty, Staff and Student Publications Publication Date 2-1-2026 Journal Proceedings of the IEEE International Conference on Semantic Computing DOI 10.1109/ICSC67292.2026.00025 PubMedCentral® Posted Date 5-22-2026 PubMedCentral® Full Text Version Author MSS Abstract Ontology verbalization refers to the process of translating formal axioms into natural language expressions.
Kinetic Human Movement Ontology: A Semantic Terminology Model to Symbolically Represent Physiological Movement
Faculty, Staff and Student Publications Publication Date 3-7-2026 DOI 10.1038/s41597-026-06984-z PubMedCentral® Posted Date 3-7-2026 PubMedCentral® Full Text Version Post-print 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.
Rendering Knowledge Graphs From Aerospace Dentistry Processes for Clinical Decision Support Systems
Faculty, Staff and Student Publications Publication Date 1-1-2026 Journal Acta Astronautica DOI 10.1016/j.actaastro.2025.08.023 PubMedCentral® Posted Date 12-21-2025 PubMedCentral® Full Text Version Author MSS Abstract NASA and commercial space flight companies expect to make long-term missions into deep space with the Artemis project and Mars mission. Health care in deep space is a priority as the missions require limited crew and equipment to accommodate astronauts' needs.
Developing a High-Performing Network Computation of Big Bipartite Network Data Toward Alcohol Use Disorder Treatment Referrals
Faculty, Staff and Student Publications Publication Date 2-1-2025 Journal Proceedings of IEEE 18th International Conference on Semantic Computing DOI 10.1109/icsc64641.2025.00044 PubMedCentral® Posted Date 7-1-2025 PubMedCentral® Full Text Version Author MSS Abstract Electronic health care records offer big data to mine and analyze towards improving public health outcomes.
An Ontology-Based Method for Formalizing and Encoding Patient Colonoscopy Preparation Using BPMN and OWL2 for Automated Tool Development
Faculty, Staff and Student Publications Publication Date 1-1-2025 Journal Journal of Clinical Informatics PubMedCentral® Posted Date 9-26-2025 PubMedCentral® Full Text Version Author MSS Abstract Colonoscopy is a proven procedure for mitigating the incidence of colorectal cancers in late adulthood. Despite its effectiveness, colonoscopy preparation presents several challenges for patients, including issues with adherence and misunderstanding.
Kinetic Human Movement Ontology: a semantic terminology model to symbolically represent physiological movement - Scientific Data
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 that focuses on anatomical and physiological entities that are active during human movement, called the Kinetic Human Movement Ontology (KHMO).
"Toward a Standard Formal Semantic Representation of the Model Card Rep" by Muhammad Tuan Amith, Licong Cui et al.
Abstract BACKGROUND: Model card reports aim to provide informative and transparent description of machine learning models to stakeholders. This report document is of interest to the National Institutes of Health's Bridge2AI initiative to address the FAIR challenges with artificial intelligence-based machine learning models for biomedical research. We present our early undertaking in developing an ontology for capturing the conceptual-level information embedded in model card reports.
Translating Motivational Interviewing for the HPV Vaccine Into a Computable Ontology Model for Automated AI Conversational Interaction
Abstract Human papillomavirus (HPV) vaccinations are lower than expected. To protect the onset of head and neck cancers, innovative strategies to improve the rates are needed. Artificial intelligence may offer some solutions, specifically conversational agents to perform counseling methods. We present our efforts in developing a dialogue model for automating motivational interviewing (MI) to encourage HPV vaccination.
Community-Clinic Linkages for Promoting HIV Prevention: Organizational Networks for PrEP Client Referrals and Collaborations
Abstract Community-clinic linkages may help communities increase HIV pre-exposure prophylaxis (PrEP) uptake. Referrals from community-based organizations may be particularly important for linking Black men who have sex with men (MSM) to PrEP. This study describes PrEP referral and HIV/STI prevention networks among organizations that serve MSM in Houston, TX (N = 40), and Chicago, IL (N = 28), and compares network positions of organizations based on percentage of Black/African American clients.
Application of an Ontology for Model Cards to Generate Computable Artifacts for Linking Machine Learning Information From Biomedical Research
Model card reports provide a transparent description of machine learning models which includes information about their evaluation, limitations, intended use, etc. Federal health agencies have expressed an interest in model cards report for research studies using machine-learning based AI. Previously, we have developed an ontology model for model card reports to structure and formalize these reports.
“Down the Rabbit Hole” of Vaccine Misinformation on YouTube: Network Exposure Study
Citation Please cite as: Loading authors... Download: Published on 05.01.21 in Vol 23, No 1 (2021): January Preprints (earlier versions) of this paper are available at http://preprints.jmir.org/preprint/23262, first published Aug 06, 2020.
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