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Drug Prescription Prediction Dataset
Pharmaceuticals & Drug Development
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Free
About
This dataset contains information about various drug types, designed to assist beginners in machine learning with predicting drug outcomes that may be suitable for patients. It serves as an opportunity to explore techniques for drug classification and to understand the structure of feature sets and target sets in such predictive problems.
Columns
- Age: The age of the patient.
- Sex: The gender of the patient (Male or Female).
- BP: Blood Pressure Levels (categorised as HIGH, LOW, or NORMAL).
- Cholesterol: Cholesterol Levels (categorised as HIGH or NORMAL).
- Na_to_K: The Sodium to Potassium Ratio in the patient's blood.
- Drug: The type of drug, which is the target feature for classification (e.g., DrugY, drugX).
Distribution
The dataset is provided in a CSV file format, specifically
drug200.csv, with a total size of 6.03 kB. It comprises 6 distinct columns and contains 200 records. All records are validated, with no missing or mismatched entries across any of the columns.Usage
This dataset is ideal for:
- Developing and testing machine learning models for drug type classification.
- Beginners in machine learning looking for a practical project to apply prediction techniques.
- Studying the impact of various patient attributes (age, sex, blood pressure, cholesterol, sodium to potassium ratio) on drug efficacy or suitability.
- Educational purposes to understand data features and target sets in classification tasks.
Coverage
The dataset covers patient demographic information including age, with values ranging from 15 to 74 years, and gender (Male and Female patients are represented). Specific geographic or time range coverage is not detailed in the provided information. All 200 patient records are complete and valid for all listed features.
License
CC0: Public Domain
Who Can Use It
- Machine Learning Enthusiasts: Particularly those new to the field, for hands-on experience with classification problems.
- Data Scientists: For building and validating predictive models in a simplified medical context.
- Educators and Students: As a clear, structured dataset for teaching and learning about data analysis and machine learning concepts.
Dataset Name Suggestions
- Drug Classification ML Dataset
- Patient Drug Type Predictor
- Medical Drug Outcome Data
- Therapeutic Drug Classification
- Drug Prescription Prediction Dataset
Attributes
Original Data Source: Drug Prescription Prediction Dataset
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