Jonathon Loftin

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

Southern Arkansas University

Also affiliated: Texas Tech University (2021)

Formerly Arkansas Affiliated with Southern Arkansas University through 2023.

Unknown Researcher

2 h-index 5 pubs 27 cited

Research Areas

Links

ORCID

OverviewAI-generated summary

Jonathon Loftin's research focuses on the application of machine learning and artificial intelligence to medical diagnosis, specifically in the area of cancer classification. His work involves developing models that can predict liver cancer and identify associated genes by analyzing high-dimensional data. Loftin has published on the use of explainable AI (XAI) to uncover these genetic associations, contributing to a deeper understanding of cancer mechanisms. His publications also extend to computational methods in finite element analysis, including exact subdomain and embedded interface polynomial integration with planar cuts. Loftin's research interests bridge computational science and health-related applications, with a h-index of 2 and 22 total citations across 5 publications.

Metrics

h-index: 2
Publications: 5
Citations: 27

Selected Publications

Machine-Learning Classification Models to Predict Liver Cancer with Explainable AI to Discover Associated Genes (2023)

AppliedMath 24 citations DOI OpenAlex
Exact subdomain and embedded interface polynomial integration in finite elements with planar cuts (2023)

Numerical Algorithms 3 citations DOI OpenAlex
Explainable-AI to Discover Associated Genes for Classifying Hepato-cellular Carcinoma from High-dimensional Data (2022)

medRxiv 1 citation DOI OpenAlex