117 citations · 373 across the 14 of their papers we have counts for
14 papers
User-Centered Design for Digital Patient-Navigation Tools in Oncology: Scoping Review
Saba Kheirinejad, Brianna M White, Parnian Kheirkhah Rahimabad +9
Navigation programs for patients with cancer improve access and continuity of care, yet their digital transformation is often limited by poor usability and inadequate uptake. Apply…
Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States
Soheil Hashtarkhani, Brianna M. White, Benyamin Hoseini +2
Lung cancer (LC) is a leading cause of cancer-related mortality in the United States. Accurate prediction of LC mortality rates is crucial for guiding targeted interventions and ad…
Cancer Diagnosis Categorization in Electronic Health Records Using Large Language Models and BioBERT: Model Performance Evaluation Study
Soheil Hashtarkhani, Rezaur Rashid, Christopher L Brett +6
Electronic health records contain inconsistently structured or free-text data, requiring efficient preprocessing to enable predictive health care models. Although artificial intell…
Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach
Soheil Hashtarkhani, Yiwang Zhou, Fekede Asefa Kumsa +3
Breast cancer screening plays a pivotal role in early detection and subsequent effective management of the disease, impacting patient outcomes and survival rates. This study aims t…
Digital Health Innovations for Screening and Mitigating Mental Health Impacts of Adverse Childhood Experiences: Narrative Review
Brianna M White, Rameshwari Prasad, Nariman Ammar +2
This study presents a narrative review of the use of digital health technologies (DHTs) and artificial intelligence to screen and mitigate risks and mental health consequences asso…
Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review
Amirehsan Ghasemi, Soheil Hashtarkhani, David L Schwartz +1
With the advances in artificial intelligence (AI), data-driven algorithms are becoming increasingly popular in the medical domain. However, due to the nonlinear and complex behavio…
The association between neighborhood obesogenic factors and prostate cancer risk and mortality: the Southern Community Cohort Study
Fekede Asefa Kumsa, Jay H. Fowke, Soheil Hashtarkhani +3
Prostate cancer is one of the leading causes of cancer-related mortality among men in the U.S. We examined the role of neighborhood obesogenic attributes on prostate cancer risk an…
Enhancing Health Care Accessibility and Equity Through a Geoprocessing Toolbox for Spatial Accessibility Analysis: Development and Case Study
Soheil Hashtarkhani, David L Schwartz, Arash Shaban-Nejad
Access to health care services is a critical determinant of population health and well-being. Measuring spatial accessibility to health services is essential for understanding heal…
Medication abortion via digital health in the United States: a systematic scoping review
Fekede Asefa Kumsa, Rameshwari Prasad, Arash Shaban-Nejad
Digital health, including telemedicine, has increased access to abortion care. The convenience, flexibility of appointment times, and ensured privacy to abortion users may make abo…
Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis
Brianna M White, Chad A Melton, Parya Zareie +3
The COVID-19 pandemic has introduced new opportunities for health communication, including an increase in the public use of online outlets for health-related emotions. People have…
Fine-tuned Sentiment Analysis of COVID-19 Vaccine-Related Social Media Data: Comparative Study
Chad A Melton, Brianna M White, Robert L Davis +2
This study investigated and compared public sentiment related to COVID-19 vaccines expressed on two popular social media platforms, Reddit and Twitter, harvested from January 1, 20…
Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach
Whitney S Brakefield, Olufunto A Olusanya, Arash Shaban-Nejad
Obesity is a global epidemic causing at least 2.8 million deaths per year. This complex disease is associated with significant socioeconomic burden, reduced work productivity, unem…
An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model
Whitney S Brakefield, Nariman Ammar, Arash Shaban-Nejad
This study sought to (1) expand our existing Urban Population Health Observatory (UPHO) system by incorporating a semantics layer; (2) cohesively employ machine learning and semant…
Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development
Nariman Ammar, Arash Shaban-Nejad
The study of adverse childhood experiences and their consequences has emerged over the past 20 years. In this study, we aimed to leverage explainable artificial intelligence, and p…