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Symptom to Doctor Recommendation Dataset
Health Information Systems & Technology
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About
This dataset is designed to facilitate the creation of various healthcare-related AI systems, primarily focusing on doctor's specialty recommendations based on patient symptoms. It offers a valuable resource for students and developers to build applications such as disease prediction, detailed disease descriptions, and precautionary measures. The dataset aims to provide the foundational information needed to develop intelligent systems that can assist in healthcare diagnosis and specialist referrals.
Columns
The dataset includes information across five CSV files. For instance, the
Disease_Description.csv file contains two key columns:- Disease: Lists various disease names, with 41 unique values, all of which are valid and present.
- Description: Provides a textual description for each listed disease, also with 41 unique values, all valid and present. An example description highlights an adverse drug reaction (ADR) as an injury caused by medication, which can occur from a single dose, prolonged administration, or drug combinations. Further columns are included for symptoms, doctor specialists, and weights across the other files, although their specific details are not provided.
Distribution
The dataset comprises five individual CSV files. The
Disease_Description.csv file is 11.07 kB in size and contains 41 records. While the specific sizes and row counts for the other four CSV files are not detailed, they collectively contain information related to symptoms, diseases, doctor specialists, and associated weights. The structure is organised to enable the linking of symptoms to diseases and subsequent specialist recommendations.Usage
This dataset is ideally suited for a range of applications in healthcare AI and machine learning, including:
- Developing a doctor's specialty recommendation system based on patient symptoms.
- Building a disease prediction system.
- Creating a system to provide detailed disease descriptions.
- Implementing a system to suggest precautions for specific diseases.
- Constructing a unified system that integrates doctor specialisation, disease information, descriptions, and precautions.
- Practising and applying various data cleaning techniques.
- Developing and testing predictive models within a healthcare context.
Coverage
The dataset does not specify geographic, time-range, or demographic coverage. However, it is expected to be updated annually, ensuring its continued relevance.
License
CC BY-SA 4.0
Who Can Use It
This dataset is particularly beneficial for:
- Students: For academic projects involving healthcare system development, such as disease prediction and specialist recommendation.
- Data Scientists and Analysts: For exploring healthcare data, applying data cleaning methodologies, and building predictive models.
- AI/ML Developers: For creating and refining intelligent systems aimed at improving healthcare diagnostics and patient guidance.
- Researchers: For studies related to medical symptom analysis and specialist referral patterns.
Dataset Name Suggestions
- Healthcare Symptom-Specialist Recommender
- Medical Diagnosis & Specialist Referral Data
- Symptom to Doctor Recommendation Dataset
- Disease & Precautionary Measures Data
- Healthcare AI Training Data
Attributes
Original Data Source: Symptom to Doctor Recommendation Dataset
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