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Diseases_and_Symptoms, Symptom to Disease Dataset for Machine Learning

Year: 2025

Type: article

Abstract: Description: This dataset maps symptoms to diseases for research and education in medical AI, it contains 50,001 diseases and 377 symptoms, organized as a binary matrix where rows are diseases and columns are symptoms, it supports classification, clustering, and decision support prototyping, the package includes a dataset description with a professional system architecture diagram, the resource is intended for research and educational use only, clinical use requires proper validation.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.16991966

Author: Mahmoud Najmeh

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7078744814

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