Roschelle L Fritz
Datos Biográficos
| ID | 212587 |
|---|---|
| NOMBRE | Roschelle L Fritz |
| NOMBRES | Roschelle L |
| APELLIDO | Fritz |
| FIRMA | FRITZ R L |
| AFILIACIONES | Washington State University–Vancouver, Vancouver, Washington, USA |
| ORCID | 0000-0002-0320-6763 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 18 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2018 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2020 |
| ÍNDICE H | 1 |
Interpreting Health Events in Big Data Using Qualitative Traditions
The training of artificial intelligence requires integrating real-world context and mathematical computations. To achieve efficacious smart health artificial intelligence, contextual clinical knowledge serving as ground truth is required. Qualitative methods are well-suited to lend consistent and valid ground truth. In this methods article, we illustrate the use of qualitative descriptive methods for providing ground truth when training an intell…
Data Collection via In-Depth Email Interviewing
This methods article is a reflection on the use of in-depth email interviewing in a qualitative descriptive study. The use of emailing to conduct interviews is thought to be an effective way to collect qualitative data. Building on current methodological literature in qualitative research regarding in-depth email interviewing, we move the conversation toward elicitation of quality data and management of multiple concurrent email interviews. Excer…
Data Collection via In-Depth Email Interviewing
This methods article is a reflection on the use of in-depth email interviewing in a qualitative descriptive study. The use of emailing to conduct interviews is thought to be an effective way to collect qualitative data. Building on current methodological literature in qualitative research regarding in-depth email interviewing, we move the conversation toward elicitation of quality data and management of multiple concurrent email interviews. Excer…
Data Collection via In-Depth Email Interviewing
This methods article is a reflection on the use of in-depth email interviewing in a qualitative descriptive study. The use of emailing to conduct interviews is thought to be an effective way to collect qualitative data. Building on current methodological literature in qualitative research regarding in-depth email interviewing, we move the conversation toward elicitation of quality data and management of multiple concurrent email interviews. Excer…
Interpreting Health Events in Big Data Using Qualitative Traditions
The training of artificial intelligence requires integrating real-world context and mathematical computations. To achieve efficacious smart health artificial intelligence, contextual clinical knowledge serving as ground truth is required. Qualitative methods are well-suited to lend consistent and valid ground truth. In this methods article, we illustrate the use of qualitative descriptive methods for providing ground truth when training an intell…
Computer Science (2 obras) · Psychology (2 obras) · Qualitative property (2 obras) · Qualitative research (2 obras) · Sociology (2 obras) · Applied Psychology (1 obras) · Artificial Intelligence (1 obras) · Big data (1 obras) · Communication (1 obras) · Context (archaeology (1 obras)