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Kaggle

Healthcare Dataset - Patient Records Analysis

Healthcare
Feb 19, 2026
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Abstract

"Synthetic healthcare dataset for data science, machine learning, and data analysis projects in medical research."

Description

This synthetic healthcare dataset has been created to serve as a valuable resource for data science, machine learning, and data analysis enthusiasts. It contains patient records including demographic information, medical conditions, admission details, treatment information, and billing data. The dataset supports various analytical tasks including patient outcome prediction, hospital resource optimization, disease pattern analysis, and healthcare cost modeling. Features include patient ID, age, gender, blood type, medical condition, date of admission, doctor assigned, medication, test results, and billing amounts. With over 55,000 records, it provides a robust foundation for healthcare analytics research.

📊 View Data Structure

To explore column names, data types, and sample rows, visit the official dataset page on Kaggle.

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Cite This Dataset

Prasad, Prasad22 (2024). Healthcare Dataset - Patient Records Analysis. [Dataset]. Kaggle. https://www.kaggle.com/datasets/prasad22/healthcare-dataset

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Original source: Kaggle (2024). Visit official page for more details.

Indexed by IoTDataset.com on Feb 19, 2026

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