Area:
Health Informatics, Community Health, Virtual Reality, Health Services
We are testing a new system for linking grants to scientists.
The funding information displayed below comes from the
NIH Research Portfolio Online Reporting Tools and the
NSF Award Database.
The grant data on this page is limited to grants awarded in the United States and is thus partial. It can nonetheless be used to understand how funding patterns influence mentorship networks and vice-versa, which has deep implications on how research is done.
You can help! If you notice any innacuracies, please
sign in and mark grants as correct or incorrect matches.
Sign in to see low-probability grants and correct any errors in linkage between grants and researchers.
High-probability grants
According to our matching algorithm, Jane Peace is the likely recipient of the following grants.
| Years |
Recipients |
Code |
Title / Keywords |
Matching
score |
| 2004 — 2007 |
Peace, Jane P |
F37Activity Code Description:
To provide training to individuals in the synthesis, organization, and management of knowledge. The training should be interdisciplinary - involving medicine, biotechnology, and cognitive sciences, information science, and computer science. |
Nurse Practitioner Access to Genetics Health Literature @ University of Wisconsin Madison
[unreadable] DESCRIPTION (provided by applicant): This training proposal describes a research plan which tests the application of a computer science solution to a clinical problem encountered by nurse practitioners (NPs). As our understanding of genetics health increases, NPs will need to provide care and create health promotion regimens mindful of each client's genetic profile. Access to the rapidly developing genetics health literature is critical for this practice model, but may be difficult, because existing search methods lead to many irrelevant results, and may retrieve the proper result only when precise keywords are used. The NP searching for information that would guide her practice may be forced to make a decision with less than complete or current information. This proposal outlines three studies, which investigate how the semantic web concepts of linking related ideas and terms can improve NPs' access to the genetics health literature. Study 1 explores NPs' genetics health information needs. Study 2 tests the applicability of existing ontologies (terminologies coupled with machine-readable statements about the meanings and relationships of the terms) to nursing. Study 3 tests a prototype intelligent agent employing ontology to retrieve literature relevant to NPs' genetics health information needs. [unreadable] [unreadable]
|
0.958 |