509 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Tennessee at KnoxvilleUS14 papers
- Oak Ridge National LaboratoryUS13 papers
- Google (United States)US3 papers
- Tempus Labs (United States)US3 papers
- University of MemphisUS3 papers
- Illinois State UniversityUS2 papers
- Korea UniversityKR2 papers
- St. Jude Children's Research HospitalUS2 papers
- University of California San DiegoUS2 papers
- Argonne National LaboratoryUS1 paper
- Bangor UniversityGB1 paper
- BiocomUS1 paper
49 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…
Dual Photonics Probing of Nano- to Submicron-Scale Structural Alterations in Human Brain Tissues or Cells and Chromatin or DNA with the Progression of Alzheimers Disease
Fatemah Alharthi, Ishmael Apachigawo, Dhruvil Solanki +4
Understanding alterations in structural disorders in tissue or cells or building blocks, such as DNA or chromatin in the human brain, at the nano to submicron level provides us wit…
wgatools: an ultrafast toolkit for manipulating whole genome alignments
Wenjie Wei, Songtao Gui, Jian Yang +3
Summary: With the rapid development of long-read sequencing technologies, the era of individual complete genomes is approaching. We have developed wgatools, a cross-platform, ultra…
Rapid GPU-Based Pangenome Graph Layout
Jiajie Li, Jan-Niklas Schmelzle, Yixiao Du +6
Computational Pangenomics is an emerging field that studies genetic variation using a graph structure encompassing multiple genomes. Visualizing pangenome graphs is vital for under…
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…
Forum on immune digital twins: a meeting report
Reinhard Laubenbacher, Fred Adler, Gary An +16
Medical digital twins are computational models of human biology relevant to a given medical condition, which can be tailored to an individual patient, thereby predicting the course…
Identifying factors associated with fast visual field progression in patients with ocular hypertension based on unsupervised machine learning
Xiaoqin Huang, Asma Poursoroush, Jian Sun +3
Purpose: To identify ocular hypertension (OHT) subtypes with different trends of visual field (VF) progression based on unsupervised machine learning and to discover factors associ…
Doping of Cr in Graphene Using Electron Beam Manipulation for Functional Defect Engineering
Ondrej Dyck, Mina Yoon, Lizhi Zhang +3
Chromium atoms in graphene have been proposed to exhibit magnetic moments and spin-selective conducting states depending on the local bonding geometry within the graphene structure…
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…
Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification
Yeganeh Madadi, Vahid Seydi, Jian Sun +2
Domain adaptation is an attractive approach given the availability of a large amount of labeled data with similar properties but different domains. It is effective in image classif…
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…
Examining the Implementation of Digital Health to Strengthen the COVID-19 Pandemic Response and Recovery and Scale up Equitable Vaccine Access in African Countries
Olufunto A Olusanya, Brianna White, Chad A Melton +1
The COVID-19 pandemic has profoundly impacted the world, having taken the lives of over 6 million individuals. Accordingly, this pandemic has caused a shift in conversations surrou…
AutoCl : A Visual Interactive System for Automatic Deep Learning Classifier Recommendation Based on Models Performance
Fuad Ahmed, Rubayea Ferdows, Md Rafiqul Islam +1
Nowadays, deep learning (DL) models being increasingly applied to various fields, people without technical expertise and domain knowledge struggle to find an appropriate model for…
Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidence
Chad A Melton, Olufunto A Olusanya, Nariman Ammar +1
The COVID-19 pandemic fueled one of the most rapid vaccine developments in history. However, misinformation spread through online social media often leads to negative vaccine senti…
An Urban Population Health Observatory System to Support COVID-19 Pandemic Preparedness, Response, and Management: Design and Development Study
Whitney S. Brakefield, Nariman Ammar, Olufunto A. Olusanya +1
Background: COVID-19 is impacting people worldwide and is currently a leading cause of death in many countries. This study sought to redefine the Healthy People 2030 SDoH taxonomy…