# DOSAGE: Dataset for Optimized Safe Antibiotic Guidelines and Estimates

**Authors:** Ferdous Wahid Anik, Marzia Zaman, Tahmina Foyez, Khondaker A. Mamun

PMC · DOI: 10.1038/s41597-025-05761-8 · Scientific Data · 2025-10-21

## TL;DR

DOSAGE is a dataset designed to help doctors personalize antibiotic dosing and assess pregnancy risks based on patient characteristics.

## Contribution

The novel contribution is a validated dataset for optimized antibiotic dosing and pregnancy risk assessment.

## Key findings

- The dataset includes 98 generic antibiotics and is validated by healthcare professionals.
- Automated and manual checks ensured data integrity and clinical adherence.
- The dataset aims to improve patient outcomes by integrating into clinical workflows.

## Abstract

The DOSAGE was developed to support personalized dosing regimens and pregnancy risk factors based on patient-specific characteristics, including age, weight, and renal function for 98 generics in total. The dataset was validated by healthcare professionals through a multi-step process that involved manual review and expert corrections. Data integrity, consistency, and clinical adherence were rigorously assessed through automated checks and manual reviews. The proposed dataset aims to provide clinicians with consultation tools and standardized data that they can seamlessly integrate into their current clinical workflow, thereby improving patient outcomes and overall quality of care.

## Full-text entities

- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12541041/full.md

## References

18 references — full list in the complete paper: https://tomesphere.com/paper/PMC12541041/full.md

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Source: https://tomesphere.com/paper/PMC12541041