R David Parker
Biographic Data
| ID | 4219086 |
|---|---|
| NAME | R David Parker |
| GIVEN NAMES | R David |
| FAMILY NAME | Parker |
| SIGNATURE | PARKER R D |
| AFFILIATIONS | West Virginia University |
| ORCID | 0000-0002-1955-7445 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 10 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 2 |
Factors Associated with Vaccine Hesitancy in the State of Alaska
Natural Language Processing Enhanced Qualitative Methods
Background Electronic health systems contain large amounts of unstructured data (UD) which are often unanalyzed due to the time and costs involved. Unanalyzed data creates missed opportunities to improve health outcomes. Natural language processing (NLP) is the foundation of generative artificial intelligence (GAI), which is the basis for large language models, such as ChatGPT. NLP and GAI are machine learning methods that analyze large amounts o…
Twenty Years of Addiction and Mental Illness in Alaska
Methods to Integrate Natural Language Processing Into Qualitative Research
Background: Qualitative methods analyze contextualized, unstructured data. These methods are time and cost intensive, often resulting in small sample sizes and yielding findings that are complicated to replicate. Integrating natural language processing (NLP) into a qualitative project can increase efficiency through time and cost savings; increase sample sizes; and allow for validation through replication. This study compared the findings, costs,…
Designing an Effective, Small-Scope Practice-based Study
OBJECTIVE: Present a methodology to promote good practices in designing small-scale, practice-based studies. STUDY DESIGN: We propose the following methods to assist clinicians and other practice-based researchers in designing and conducting good quality, small-scale studies in a clinical setting. METHODS: Research projects applied to a limited, practice-based study may require modification to increase the consistency of patient research. RESULTS…
HIV and STI Testing and Related Factors Among Men Who Have Sex with Men in Estonia
A Surveillance Report of HIV Status and High Risk Behaviors Among Rapid Testing Participants in Tallinn, Estonia
Housing as an Intervention on Hospital Use
Methods to Integrate Natural Language Processing Into Qualitative Research
Background: Qualitative methods analyze contextualized, unstructured data. These methods are time and cost intensive, often resulting in small sample sizes and yielding findings that are complicated to replicate. Integrating natural language processing (NLP) into a qualitative project can increase efficiency through time and cost savings; increase sample sizes; and allow for validation through replication. This study compared the findings, costs,…
Housing as an Intervention on Hospital Use
Natural Language Processing Enhanced Qualitative Methods
Background Electronic health systems contain large amounts of unstructured data (UD) which are often unanalyzed due to the time and costs involved. Unanalyzed data creates missed opportunities to improve health outcomes. Natural language processing (NLP) is the foundation of generative artificial intelligence (GAI), which is the basis for large language models, such as ChatGPT. NLP and GAI are machine learning methods that analyze large amounts o…
A Surveillance Report of HIV Status and High Risk Behaviors Among Rapid Testing Participants in Tallinn, Estonia
Housing as an Intervention on Hospital Use
HIV and STI Testing and Related Factors Among Men Who Have Sex with Men in Estonia
Designing an Effective, Small-Scope Practice-based Study
OBJECTIVE: Present a methodology to promote good practices in designing small-scale, practice-based studies. STUDY DESIGN: We propose the following methods to assist clinicians and other practice-based researchers in designing and conducting good quality, small-scale studies in a clinical setting. METHODS: Research projects applied to a limited, practice-based study may require modification to increase the consistency of patient research. RESULTS…
Methods to Integrate Natural Language Processing Into Qualitative Research
Background: Qualitative methods analyze contextualized, unstructured data. These methods are time and cost intensive, often resulting in small sample sizes and yielding findings that are complicated to replicate. Integrating natural language processing (NLP) into a qualitative project can increase efficiency through time and cost savings; increase sample sizes; and allow for validation through replication. This study compared the findings, costs,…
Twenty Years of Addiction and Mental Illness in Alaska
Factors Associated with Vaccine Hesitancy in the State of Alaska
Natural Language Processing Enhanced Qualitative Methods
Background Electronic health systems contain large amounts of unstructured data (UD) which are often unanalyzed due to the time and costs involved. Unanalyzed data creates missed opportunities to improve health outcomes. Natural language processing (NLP) is the foundation of generative artificial intelligence (GAI), which is the basis for large language models, such as ChatGPT. NLP and GAI are machine learning methods that analyze large amounts o…
Medicine (6 works) · Demography (4 works) · Artificial Intelligence (3 works) · Computer Science (3 works) · Environmental health (3 works) · Family medicine (3 works) · Gerontology (3 works) · Nursing (3 works) · Psychiatry (3 works) · Psychology (3 works)