MachineLearning-Nerd/Machine-Learning-for-Healthcare-Analytics
Machine Learning (ML) has changed the way organizations and individuals use data to improve the efficiency of a system. ML algorithms allow strategists to deal with a variety of structured, unstructured, and semi-structured data. Machine Learning for Healthcare Analytics Projects is packed with new approaches and methodologies for creating powerful solutions for healthcare analytics.
This project provides practical solutions for healthcare professionals and data scientists looking to apply machine learning to health data. It takes raw patient data, such as medical records or diagnostic results, and processes it to generate predictive models for disease detection and diagnosis. The primary users are healthcare analysts, medical researchers, and data scientists working in the healthcare sector.
No commits in the last 6 months.
Use this if you are a healthcare professional or data scientist with basic programming knowledge wanting to build predictive models for common diseases like cancer, diabetes, or heart conditions.
Not ideal if you are looking for a plug-and-play software tool and do not have any programming experience.
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15
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10
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HTML
License
MIT
Category
Last pushed
Jan 01, 2019
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