Name
Title | ||
|---|---|---|
Term-based Personalization for Feature Selection in Clinical Handover Form Auto-filling. |
Abstract | ||
|---|---|---|
Feature learning and selection have been widely applied in many research areas because of their good performance and lower complexity. Traditional methods usually treat all terms with same feature sets, such that performance can be damaged when noisy information is brought by wrong features for a given term. In this paper, we propose a term-based personalization approach to finding the best features for each term. First, features are given as the input so that we focus on selection strategies. Second, we present a feature searching method to generate feature candidate subsets for each term. After that, the importance of each candidate feature subset to a given term is evaluated by the term-feature probabilistic relevance model. Finally, we obtain the personalized feature set for each term as a subset of all features. Experiments have been conducted on the NICTA Synthetic Nursing Handover dataset and the results show that our approach is promising and effective. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TCBB.2018.2874237 | IEEE/ACM transactions on computational biology and bioinformatics |
Keywords | Field | DocType |
Feature extraction,Handover,Task analysis,Support vector machines,Computational modeling,Genetic algorithms | Feature selection,Computer science,Support vector machine,Feature extraction,Artificial intelligence,Probabilistic relevance model,Clinical handover,Feature learning,Genetic algorithm,Machine learning,Personalization | Journal |
Volume | Issue | ISSN |
16 | 4 | 1557-9964 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongyu Liu | 1 | 0 | 0.34 |
| Qinmin Vivian Hu | 2 | 20 | 6.06 |
| Liang He | 3 | 61 | 20.38 |