Table 1 Feature Descriptions.
From: AI-driven drug discovery using a context-aware hybrid model to optimize drug-target interactions
Features | Descriptions |
|---|---|
Medicine name | The dataset is an extensive compilation of pharmaceutical items, containing the names of more than 11,000 medications. |
Salt composition | Medical practitioners and academics researching drug interactions and effects depend heavily on the salt content of each medication. |
Uses | Discover the illnesses and diseases for which prescription drugs are utilized, which are relevant to medical professionals and researchers investigating the effectiveness of treatments. |
Manufacturer | The dataset provides useful data about pharmaceutical producers, supporting supply chain management, quality control analysis, and the identification of production patterns. |
Image URLs | Drug identification and visual evaluation are made easier by patients having access to visual URLs for each medication. |
Review Percentages | The three types of review percentages in this dataset are Excellent, Average, and Poor. These sections provide an extensive description of each medication’s ratings and comments. |
