Title | Leveraging health social networking communities in translational research. |
Publication Type | Journal Article |
Year of Publication | 2011 |
Authors | Webster YW, Dow ER, Koehler J, Gudivada RC, Palakal MJ |
Journal | J Biomed Inform |
Volume | 44 |
Issue | 4 |
Pagination | 536-44 |
Date Published | 2011 Aug |
ISSN | 1532-0480 |
Keywords | Algorithms, Amyotrophic Lateral Sclerosis, Colorectal Neoplasms, Community Networks, Computational Biology, Disease, Humans, Internet, Models, Theoretical, Semantics, Social Support, Translational Medical Research |
Abstract | Health social networking communities are emerging resources for translational research. We have designed and implemented a framework called HyGen, which combines Semantic Web technologies, graph algorithms and user profiling to discover and prioritize novel associations across disciplines. This manuscript focuses on the key strategies developed to overcome the challenges in handling patient-generated content in Health social networking communities. Heuristic and quantitative evaluations were carried out in colorectal cancer. The results demonstrate the potential of our approach to bridge silos and to identify hidden links among clinical observations, drugs, genes and diseases. In Amyotrophic Lateral Sclerosis case studies, HyGen has identified 15 of the 20 published disease genes. Additionally, HyGen has highlighted new candidates for future investigations, as well as a scientifically meaningful connection between riluzole and alcohol abuse. |
DOI | 10.1016/j.jbi.2011.01.010 |
Alternate Journal | J Biomed Inform |
PubMed ID | 21284958 |
Submitted by kej2006 on June 6, 2018 - 4:10pm