Random Forest Algorithm-Based Ultrasonic Image in the Diagnosis of Patients with Dry Eye Syndrome and Its Relationship with Tear Osmotic Pressure.
- DOI
- 10.1155/2022/9437468
- Published
- 2022
- Container
- Computational and mathematical methods in medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1155/2022/9437468,
title = {Random Forest Algorithm-Based Ultrasonic Image in the Diagnosis of Patients with Dry Eye Syndrome and Its Relationship with Tear Osmotic Pressure.},
author = {Jiang L and Sun S and Chen J and Sun Z},
year = {2022},
journal = {Computational and mathematical methods in medicine},
doi = {10.1155/2022/9437468},
url = {https://doi.org/10.1155/2022/9437468}
}RIS
TY - JOUR TI - Random Forest Algorithm-Based Ultrasonic Image in the Diagnosis of Patients with Dry Eye Syndrome and Its Relationship with Tear Osmotic Pressure. AU - Jiang L AU - Sun S AU - Chen J AU - Sun Z PY - 2022 JO - Computational and mathematical methods in medicine DO - 10.1155/2022/9437468 UR - https://doi.org/10.1155/2022/9437468 ER -
APA
L, J., S, S., J, C., & Z, S. (2022). Random Forest Algorithm-Based Ultrasonic Image in the Diagnosis of Patients with Dry Eye Syndrome and Its Relationship with Tear Osmotic Pressure.. Computational and mathematical methods in medicine. https://doi.org/10.1155/2022/9437468
Source records
- pubmed · retrieved 2026-09-25T03:24:57.823Z
- europe-pmc · retrieved 2026-09-25T03:24:57.832Z