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GitHub / Shivam1603 / Integrated-HealthCare-Management

Main objectives of this project include Fraud detection using classification algorithms, population clustering for quantified analysis using K-means algorithm, identification of High-cost, High resource-utility patients by computing average Length of Stay, average cost incurred.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shivam1603%2FIntegrated-HealthCare-Management

Stars: 1
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 1 MB
Dependencies: 0

Created: about 4 years ago
Updated: 16 days ago
Last pushed: 16 days ago
Last synced: 15 days ago

Topics: artificial-intelligence, clustering, healthcare, logistic-regression, machine-learning

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