医疗应急用药推荐系统数据集

数据集获取（Figshare）

• 源站标题：A Fair and Safe Usage Drug Recommendation System in Medical Emergencies by a Stacked ANN
• DOI：10.6084/m9.figshare.28254818.v2
• 发布日期：2025-01-22
• 文件数：1 个
• 文件总体积：153.13 KB
• 源站页面：https://figshare.com/articles/dataset/A_Fair_and_Safe_Usage_Drug_Recommendation_System_in_Medical_Emergencies_by_a_Stacked_ANN/28254818

命令行下载

curl -L -o "SCTO.csv" "https://ndownloader.figshare.com/files/51842291"

文件清单

• SCTO.csv（153.13 KB）

文件总体积 153.13 KB（源站 API 实测）。

数据说明

The importance of online recommender systems for drugs, medical professionals, and hospitals is growing. Today, the majority of people use online consultations for drug recommendations for all types of health issues. Emergencies such as pandemics, floods, or cyclones can be helped by the medical recommender system. In the era of machine learning (ML), recommender systems produce more accurate, quick, and reliable clinical predictions with minimal costs. As a result, these systems maintain better performance, integrity, and privacy of patient data in the decision-making process and provide precise information at any time. Therefore, we present drug recommender systems with a stacked artificial neural network (ANN) model to improve the fairness and safety of treatment for infectious diseases. To reduce side effects, drugs are recommended based on a patient’s previous health profile, lifestyle, and habits. The proposed system produced results with 97.5% accuracy. A system such as this could be useful in recommending safe medicines to patients, especially during health emergencies.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.28254818.v2（source: https://figshare.com/articles/dataset/A_Fair_and_Safe_Usage_Drug_Recommendation_System_in_Medical_Emergencies_by_a_Stacked_ANN/28254818）。