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
7 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…
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…
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…
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…
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…
Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation
Khalid Alghatani, Nariman Ammar, Abdelmounaam Rezgui +1
Patient monitoring is vital in all stages of care. We here report the development and validation of ICU length of stay and mortality prediction models. The models will be used in a…
A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis
Maria Hügle, Gabriel Kalweit, Thomas Huegle +1
Clinical data from electronic medical records, registries or trials provide a large source of information to apply machine learning methods in order to foster precision medicine, e…