HEALTHCARE DATA MINING TECHNIQUES

Hospitals and clinics generate massive amounts of patient data. But how can we use this data to improve patient care? Data mining techniques offer a powerful solution.

In healthcare, Data mining involves analyzing patient records, medical images, and other clinical data.

What is Data Mining?

1. Classification 2. Clustering 3. Regression

Data Mining Techniques for Healthcare

Classification algorithms can help identify patients at high risk for certain diseases.

Classification

Tailor treatment plans and resource allocation by identifying groups of patients with similar characteristics.

Clustering

Proactive care management by predicting future health outcomes, such as hospital readmission rates or disease progression.

Regression  Analysis

By unlocking the power of data, we can improve patient care, reduce costs, and achieve better health outcomes for everyone.

The Future of Healthcare is Data-Driven