Natalie Lorent
Biographic Data
| ID | 9000348 |
|---|---|
| NAME | Natalie Lorent |
| GIVEN NAMES | Natalie |
| FAMILY NAME | Lorent |
| SIGNATURE | LORENT N |
| AFFILIATIONS | KU Leuven |
| ORCID | 0000-0002-2653-5885 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 0 |
Performance of algorithms for tuberculosis active case finding in underserved high-prevalence settings in Cambodia
To diagnose all TB forms, X-ray should be part of the diagnostic algorithm. The combination of X-ray and Xpert testing for high-risk clients was the most effective ACF approach in this setting
No prominent works on this page.
Performance of algorithms for tuberculosis active case finding in underserved high-prevalence settings in Cambodia
To diagnose all TB forms, X-ray should be part of the diagnostic algorithm. The combination of X-ray and Xpert testing for high-risk clients was the most effective ACF approach in this setting
Algorithm (1 works) · Case finding (1 works) · Confidence interval (1 works) · COVID-19 diagnosis using AI (1 works) · Cross-sectional study (1 works) · Digital Imaging for Blood Diseases (1 works) · Internal Medicine (1 works) · Medicine (1 works) · Number needed to treat (1 works) · Pathology (1 works)