Name
Title | ||
|---|---|---|
Enabling personalized decision support with patient-generated data and attributable components |
Abstract | ||
|---|---|---|
•We applied Attributable Components Analysis (ACA) to meal and blood glucose data.•ACA demonstrated favorable characteristics for analyzing patient-generated data.•ACA is interpretable and holds potential to build tools to support nutrition decisions. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.jbi.2020.103639 | Journal of Biomedical Informatics |
Keywords | DocType | Volume |
Type 2 diabetes,Patient-generated health data,Machine learning,Patient decision support | Journal | 113 |
ISSN | Citations | PageRank |
1532-0464 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elliot G. Mitchell | 1 | 4 | 5.88 |
| Tabak Esteban G | 2 | 1 | 1.72 |
| Matthew Levine | 3 | 21 | 8.67 |
| Lena Mamykina | 4 | 1124 | 98.05 |
| David J. Albers | 5 | 1 | 0.68 |