Name
Abstract | ||
|---|---|---|
•Patient hemoglobin concentration is able to be monitored continuously by using a non-invasive measuring device.•Nonparametric statistical methods are used to improve its accuracy by considering measurement bias and individual trends.•The accuracy of non-invasive measurement is improved significantly with proposed methods and evaluated by cross-validation.•Furthermore, the impacts of patient demographics and initial medical condition are discussed.•The non-invasive hemoglobin measurement with improved accuracy is promising to support clinical practice & decision-making. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.jbi.2021.103975 | Journal of Biomedical Informatics |
Keywords | DocType | Volume |
Non-invasive hemoglobin measurement,Evolution trend,Nonparametric model,Robust locally estimated scatterplot smoothing (LOESS) method,Kernel regression | Journal | 126 |
ISSN | Citations | PageRank |
1532-0464 | 1 | 0.43 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianing Man | 1 | 1 | 0.43 |
| Martin D Zielinski | 2 | 1 | 0.43 |
| Devashish Das | 3 | 5 | 1.92 |
| Phichet Wutthisirisart | 4 | 1 | 0.43 |
| Kalyan S Pasupathy | 5 | 1 | 0.43 |