Byron Crowe
Biographic Data
| ID | 7756777 |
|---|---|
| NAME | Byron Crowe |
| GIVEN NAMES | Byron |
| FAMILY NAME | Crowe |
| SIGNATURE | CROWE B |
| AFFILIATIONS | Arizona Department of Health Services |
| ORCID | 0000-0001-9217-1533 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Comparison of Frontier Open-Source and Proprietary Large Language Models for Complex Diagnoses
This comparative effectiveness research assesses the performance of newer open-source large language models (LLMs) with that of closed-source proprietary large LLMs
Reach, engagement and effectiveness of in-person and online lifestyle change programs to prevent diabetes
Compared to adults referred to in-person LCP, those referred to online LCP were more likely to enroll and less likely to engage. Online participants achieved modest meaningful weight loss. Online delivery of LCP is an attractive strategy to deliver and scale DPP, particularly with social distancing measures currently in place. However, it is unclear how to optimize delivery models for maximal impact given trade-offs in reach and effectiveness
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Reach, engagement and effectiveness of in-person and online lifestyle change programs to prevent diabetes
Compared to adults referred to in-person LCP, those referred to online LCP were more likely to enroll and less likely to engage. Online participants achieved modest meaningful weight loss. Online delivery of LCP is an attractive strategy to deliver and scale DPP, particularly with social distancing measures currently in place. However, it is unclear how to optimize delivery models for maximal impact given trade-offs in reach and effectiveness
Comparison of Frontier Open-Source and Proprietary Large Language Models for Complex Diagnoses
This comparative effectiveness research assesses the performance of newer open-source large language models (LLMs) with that of closed-source proprietary large LLMs
Medicine (2 works) · Archaeology (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Attendance (1 work) · Biostatistics (1 work) · Chronic Disease Management Strategies (1 work) · Computer Science (1 work) · Diabetes Management and Education (1 work) · Frontier (1 work) · Gerontology (1 work)