DOSAGE: Dataset for Optimized Safe Antibiotic Guidelines and Estimates

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.

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Publication Details

Journal
Scientific Data
Published
2025-10-21
DOI
https://doi.org/10.1038/s41597-025-05761-8
Primary Topic
Antibiotic Use and Resistance
Type
article
Field-Weighted Citation Impact
0.00
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article

DOSAGE: Dataset for Optimized Safe Antibiotic Guidelines and Estimates

Tahmina Foyez, Marzia Zaman, Khondaker A. Mamun, Ferdous Wahid Anik
Scientific Data
Antibiotic Use and Resistance
article

DOSAGE: Dataset for Optimized Safe Antibiotic Guidelines and Estimates

Tahmina Foyez, Marzia Zaman, Khondaker A. Mamun, Ferdous Wahid Anik
article en

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.

Scientific DataVol. 12(1)
Dhaka International University (BD), United International University (BD)
Openalex Percentile: Top 64%
Antibiotic Use and Resistance
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DOSAGE: Dataset for Optimized Safe Antibiotic Guidelines and Estimates — Tahmina Foyez, Marzia Zaman, et al. · Scientific Data (2025) | TGRS Research Map | TGRS