Thobani Chaduka Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
grad_student
Research Areas
Biography and Research Information
OverviewAI-generated summary
Thobani Chaduka, a graduate student at the University of Arkansas at Little Rock, focuses his research on the intersection of healthcare and data analysis. His interests span blood pressure and hypertension studies, cognitive aging, and the broader impacts of health systems on quality of life. Chaduka also explores the economic dimensions of health, including the economic and financial impacts of cancer. His work incorporates machine learning techniques to address complex problems in healthcare. Recent publications demonstrate his methodological contributions to analyzing trends in kidney cancer survival, including the development of a novel "Start Time End Time Integration (STETI)" method.
Metrics
- h-index: 1
- Publications: 2
- Citations: 1
Selected Publications
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Start Time End Time Integration (STETI): Method for Including Recent Data to Analyze Trends in Kidney Cancer Survival (2025)
Collaboration Network
Top Collaborators
- Start Time End Time Integration (STETI): Method for Including Recent Data to Analyze Trends in Kidney Cancer Survival
- Start Time End Time Integration (STETI): Analyzing Trends in Kidney Cancer Survival Time Data
- Start Time End Time Integration (STETI): Method for Including Recent Data to Analyze Trends in Kidney Cancer Survival
- Start Time End Time Integration (STETI): Analyzing Trends in Kidney Cancer Survival Time Data
- Start Time End Time Integration (STETI): Method for Including Recent Data to Analyze Trends in Kidney Cancer Survival
- Start Time End Time Integration (STETI): Analyzing Trends in Kidney Cancer Survival Time Data
- Start Time End Time Integration (STETI): Method for Including Recent Data to Analyze Trends in Kidney Cancer Survival
- Start Time End Time Integration (STETI): Analyzing Trends in Kidney Cancer Survival Time Data