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
4 papers · 1 filter
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…