Shadi Alian

ORCID: 0000-0003-2368-3927
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About
Contact & Profiles
Research Areas
  • Mobile Health and mHealth Applications
  • Biomedical Text Mining and Ontologies
  • Health Literacy and Information Accessibility
  • Semantic Web and Ontologies
  • Diabetes Management and Education
  • Natural Language Processing Techniques
  • Opportunistic and Delay-Tolerant Networks
  • Recommender Systems and Techniques
  • Diabetes Management and Research
  • Machine Learning in Healthcare
  • Topic Modeling
  • UAV Applications and Optimization
  • Caching and Content Delivery
  • Mobile Ad Hoc Networks
  • Vehicular Ad Hoc Networks (VANETs)
  • Text Readability and Simplification
  • Food Security and Health in Diverse Populations
  • Diet and metabolism studies

North Dakota State University
2018-2024

Dakota State University
2021

The epidemic of diabetes in American Indian (AI) communities is a serious public health challenge. incidence and prevalence have increased dramatically with accompanying increases body weight diminished physical activity. In this paper, we propose proactive self-care recommendation system specifically for AI patients. It recommends healthy life style to users fight their diabetes. Thanks the quasi-ubiquitous use cellphones most tribes, choose as platform provide smart personal care By...

10.1109/access.2018.2882138 article EN cc-by-nc-nd IEEE Access 2018-01-01

People with low health literacy experience more challenges in understanding instructions given by their providers, following prescriptions, and care system sufficiently to obtain the maximum benefits. insufficient have high risk of making medical mistakes, chances experiencing adverse drug effects, inferior control chronic diseases.This study aims design, develop, evaluate a mobile app, MediReader, help individuals better understand complex materials improve literacy.MediReader is designed...

10.2196/35069 article EN cc-by JMIR Formative Research 2022-02-15

Following a healthy diet is essential for people with diabetes. For this purpose, there have been many digital tools and mobile apps developed diabetes meal planning. Most of them focus on controlling the blood sugar level users. However, they undervalued social, cultural, religious significance food to people. There are numerous factors that affect person's planning including taste, nutrition, budget, preference, habit, health constraints. People can struggle decide what eat. They may...

10.1109/healthcom46333.2019.9009593 article EN 2019-10-01

Diabetes presents a significant public health issue for Native Americans, exacerbated by cultural nuances often ignored conventional healthcare.To address this, we introduce mobile app designed with the context of American populations in mind.The app's development followed participatory design principles, direct input from stakeholders through focus groups and interviews.The features culturally tailored nutrition plans incorporating traditional foods, community-based support systems,...

10.25046/aj090110 article EN Advances in Science Technology and Engineering Systems Journal 2024-01-01

Effective management of diabetes is contingent upon patients' understanding their medical conditions and treatments. However, documents often contain complex jargon technical details that can be challenging for patients, especially those with limited health literacy. This paper presents DiaKnow, an innovative tool simplifies customizes explanations to suit individual literacy levels. Employing a robust self-attention transformer model comprehensive diabetes-focused knowledge graph, DiaKnow...

10.1109/icics63486.2024.10638283 article EN 2024-08-13

In this paper we present the design and development of an ontology model to assist personalized self-management for American Indian diabetes users. The most important part is a biocultural user profile modeling that presents various characteristics We describe overall life cycle including six well defined stages were employed by engineers developers plan for, design, implement, evaluate, deliver ontology. process iterative, as each phase can be cyclically incrementally repeated. proposed has...

10.1109/healthcom.2018.8531107 article EN 2018-09-01

Ontology has been proposed to use in various healthcare domains represent and manage knowledge, integrate heterogeneous data, assist natural language processing, facilitate machine learning, support intelligent medical decisions. Although there are many ontologies defined, their adoption real-world applications is limited, because quality unknown. The of the ontology directly determines its reuse applications, which especially important for domain. To assure quality, an should be evaluated...

10.1109/iccc54389.2021.9674339 article EN 2021 7th International Conference on Computer and Communications (ICCC) 2021-12-10

Natural and man-made disasters pose an ever-present threat to our community society. Effective information communication platform are important for disaster response. However, under scenarios, network infrastructure, such as power grid, cellular tower backbone networks can be damaged. In addition, the channels often become congested by exceptionally high levels of data traffic, people impacted trying contact with their family friends seeking help; responders working deploy rescue resources,...

10.1109/mobilecloud.2019.00009 article EN 2019-04-01

The aging population worldwide is expected to increase the prevalence of Alzheimer’s disease. As there no medical curative treatment for this disease date, alternative treatments have been applied improve patient’s brain and general health. One these efforts includes providing patients with proper food nutrition. In paper, we propose a knowledge-powered personalized virtual coach provide diet nutrition assistance and/or their informal caregivers. built on top an ontology-enhanced knowledge...

10.4018/ijehmc.20211101.oa6 article EN International Journal of E-Health and Medical Communications 2021-05-11

Although social media and contents are being generated shared with an unprecedented scale speed, rural underdeveloped areas throughout the world have only limited access due to lack of high-speed Internet. Connecting communities digital providing them right will provide much-needed bridge between urban areas. In this paper, we propose a communication information framework that utilizes simple Internet Things (IoT) in community assist delay-tolerant content distribution. Specifically, hybrid...

10.1109/mobilecloud48802.2020.00014 article EN 2020-07-08

Diabetes has a disproportionate impact on Native Americans (NAs) as chronic health condition, yet there is dearth of mobile apps specifically designed for this population. In paper, we present the design and development culturally tailored app NAs, taking into account their cultural traditions. Our incorporates NA's traditional foods, food availability, importance family community, practices beliefs, local resources, heritage heroes interface self-management design. The includes personalized...

10.1109/iscc58397.2023.10218192 article EN 2022 IEEE Symposium on Computers and Communications (ISCC) 2023-07-09

<sec> <title>BACKGROUND</title> People with low health literacy experience more challenges in understanding instructions given by their providers, following prescriptions, and care system sufficiently to obtain the maximum benefits. insufficient have high risk of making medical mistakes, chances experiencing adverse drug effects, inferior control chronic diseases. </sec> <title>OBJECTIVE</title> This study aims design, develop, evaluate a mobile app, MediReader, help individuals better...

10.2196/preprints.35069 preprint EN 2021-11-19
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