Reinforced risk prediction with budget constraint using irregularly measured data from electronic health records.
Saved in:
| Title: | Reinforced risk prediction with budget constraint using irregularly measured data from electronic health records. |
|---|---|
| Authors: | Pan Y; Department of Mathematics and Statistics, University of North Carolina at Charlotte., Laber EB; Department of Statistics, North Carolina State University., Smith MA; Departments of Population Health Sciences and Family Medicine, University of Wisconsin-Madison., Zhao YQ; Public Health Sciences Division, Fred Hutchinson Cancer Research Center. |
| Source: | Journal of the American Statistical Association [J Am Stat Assoc] 2023; Vol. 118 (542), pp. 1090-1101. Date of Electronic Publication: 2021 Nov 30. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Statistical Association Country of Publication: United States NLM ID: 01510020R Publication Model: Print-Electronic Cited Medium: Print ISSN: 0162-1459 (Print) Linking ISSN: 01621459 NLM ISO Abbreviation: J Am Stat Assoc Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 0162-1459 |
|---|---|
| DOI: | 10.1080/01621459.2021.1978467 |
