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Healthcare Product Data Collection
Patient Health Records & Digital Health
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset is a valuable resource for healthcare professionals, data scientists, and enthusiasts interested in exploring the world of medicines and healthcare products. It contains a rich repository of information scraped from 1mg, a popular online pharmacy and healthcare platform, covering over 11,000 medicines. The data provides detailed insights into various aspects of pharmaceutical products, offering a nuanced understanding of their composition, uses, potential side effects, and user satisfaction.
Columns
The dataset contains nine distinct columns, each providing crucial information:
- Medicine Name: The names of over 11,000 pharmaceutical products. There are 11,498 unique medicine names in the dataset.
- Composition: Detailed information about the active ingredients (salts) used in each medicine's formulation. This includes 3,358 unique salt compositions, with "Luliconazole (1% w/w)" being the most frequent.
- Uses: The various medical conditions and ailments for which medicines are prescribed or recommended. Key uses include "Treatment of Type 2 diabetes mellitus" (8% of entries) and "Treatment of Bacterial infections" (4% of entries).
- Side_effects: Information on potential side effects associated with each medicine. "Application site reactions burning irritation itching and redness" is the most common side effect listed, appearing in 3% of entries.
- Image URL: Access to image URLs for each medicine, facilitating product identification and visual analysis. There are 11,740 unique image URLs.
- Manufacturer: Insights into the manufacturers of these medicines. "Sun Pharmaceutical Industries Ltd" (7%) and "Intas Pharmaceuticals Ltd" (6%) are the most frequently listed manufacturers.
- Excellent Review %: Provides a nuanced understanding of user satisfaction and feedback for each medicine. The mean excellent review percentage is 38.5, with a standard deviation of 25.2.
- Average Review %: Offers further insight into user satisfaction. The mean average review percentage stands at 35.8, with a standard deviation of 18.3.
- Poor Review %: Details the percentage of poor reviews, aiding in understanding user dissatisfaction. The mean poor review percentage is 25.7, with a standard deviation of 24.
All columns have 11,800 valid entries, indicating no missing data across the dataset.
Distribution
The dataset is provided in a CSV format (Medicine_Details.csv) and has a file size of 4.37 MB. It contains details for over 11,000 medicines, structured across 9 distinct columns. The dataset is expected to be updated weekly.
Usage
This dataset is ideal for various applications and use cases:
- Healthcare Practitioners: For understanding drug compositions, potential interactions, and making informed decisions about patient medication.
- Medical Researchers: To study drug interactions, effects, and the efficacy of treatments for various medical conditions.
- Data Scientists: For data analysis, trend identification, and building models related to pharmaceutical products.
- Quality Control Analysis: Examining manufacturer data to ensure product quality and standards.
- Supply Chain Management: Identifying trends in pharmaceutical production and managing medicine distribution.
- Patient Information: Patients can use the side effects information to make informed decisions about their medication.
Coverage
The data is web scraped from 1mg, a prominent online pharmacy and healthcare platform. The dataset focuses on pharmaceutical products and their associated details. There is no specific geographic, time range (beyond weekly updates), or demographic scope specified beyond the nature of pharmaceutical information.
License
CC0: Public Domain
Who Can Use It
This dataset is particularly useful for:
- Healthcare Professionals: For clinical decision-making and patient education.
- Data Scientists and Analysts: For conducting deep dives into pharmaceutical data and extracting insights.
- Pharmaceutical Researchers: For drug discovery, development, and efficacy studies.
- Students and Enthusiasts: Those interested in exploring the vast world of medicines and healthcare products.
- Supply Chain Managers: For optimising inventory and understanding manufacturing trends.
- Patients: To gain a better understanding of their prescribed medications, including potential side effects.
Dataset Name Suggestions
- 1mg Pharmaceutical Product Insights
- Online Medicine Database
- Drug Information from 1mg Platform
- Healthcare Product Data Collection
Attributes
Original Data Source: Healthcare Product Data Collection
QUALITY