Name
Title | ||
|---|---|---|
Scaling and contextualizing personalized healthcare: A case study of disease prediction algorithm integration. |
Abstract | ||
|---|---|---|
•Address two of the major challenges for the successful integration of informatics tools into clinical workflows.•Demonstrate techniques to integrate and contextualize results from disease prediction algorithms, such as CARE.•Detail how insights from such disease prediction algorithms can translate into patient engagement and empowerment.•Discuss predictability of diagnoses given the data.•Developed a scalable and distributed version of CARE to process realistically sized clinical data. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.jbi.2015.07.017 | Journal of Biomedical Informatics |
Keywords | DocType | Volume |
Personalized healthcare,Big Data,Clinical informatics,Data mining | Journal | 57 |
ISSN | Citations | PageRank |
1532-0464 | 1 | 0.35 |
References | Authors | |
11 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| keith feldman | 1 | 9 | 1.07 |
| Darcy Davis | 2 | 165 | 8.56 |
| Nitesh Chawla | 3 | 7257 | 345.79 |