College of Nursing
Yingwei Yao Research Group
Led by Yingwei Yao · Biobehavioral Nursing Science
What we study
The lab focuses on statistical analysis and machine learning, including study design, power analysis, and techniques like clustering and decision trees. They apply these methods to research on nursing data and healthcare outcomes.
What working here is like
- Computational
- Coding required
- Project
- 1
- Papers
- 5
Current projects
Harmonizing and Integrating Nursing Data into Multidisciplinary Datasets to Evaluate Hospital Care and Readmissions of Older…
Analyzing nursing data to improve care for older adults with Alzheimer's and related dementias.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Clinical Correlates of Fatigue in Adults With Sickle Cell Disease
2026 · Journal of sickle cell disease.
Finds that fatigue in sickle cell disease is linked to pain and stress.
- Consistency of ASCQ-Me Scores Across Repeated Measures in Sickle Cell Disease
2026 · Western Journal of Nursing Research
Tests whether quality of life scores in sickle cell disease stay consistent over 18 months.
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- Lung Cancer Pain Quality Descriptors: More Similarities Than Differences by Patient Characteristics
2026 · Pain Management Nursing
- Social determinants of necrotizing enterocolitis-associated mortality in very low birth weight infants: a population based study
2026 · Journal of Perinatal Medicine
Examines how social factors affect necrotizing enterocolitis mortality in very low birth weight infants.
- Predictors and Risk Factors of Necrotizing Enterocolitis
2026 · Advances in Neonatal Care
Summarizes predictors and risk factors for necrotizing enterocolitis in preterm infants.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Yingwei Yao hasn't set up this page yet. Their UF Scholars profile lists their publications.