Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study
The OPTIVAN algorithm represents a significant advancement in personalized initial vancomycin dosing, addressing the limitations of current TDM practices. By optimizing the initial dose, this algorithm may reduce the need for subsequent dosage adjustments. The algorithm's web-based app is easy to use, making it a practical tool for clinicians. This study highlights the potential of ML to enhance the effectiveness of vancomycin treatment.
Authors
- Heonyi Lee
- Tae‐Dong Jeong (ORCID: https://orcid.org/0000-0002-3873-3117)
- Soo‐Kyung Kim (ORCID: https://orcid.org/0000-0001-9406-8628)
- Yi‐Jun Kim (ORCID: https://orcid.org/0000-0002-1763-4267)
- Jin‐Hong Kim (ORCID: https://orcid.org/0000-0002-6480-1929)
Institutions
- Ewha Womans University (KR)
- Seoul National University (KR)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-03-31
- DOI
- https://doi.org/10.2196/63983
- Citations
- 5
- Primary Topic
- Antibiotics Pharmacokinetics and Efficacy
- Type
- article
- Field-Weighted Citation Impact
- 6.97