Big Data in Healthcare Course
Gain expertise in leveraging big data from EHR and claims to develop fair, accurate models for reducing heart failure readmissions. Master feature engineering, imbalanced data handling, bias detection, workflow integration, and ongoing performance monitoring to enhance patient care and operational efficiency in healthcare settings.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course teaches framing healthcare readmission challenges, analysing complex datasets, creating clinical and cost features, applying modelling and evaluation methods, and deploying secure predictive systems with EHR integration and monitoring for fairness and effectiveness.
Elevify advantages
Develop skills
- Frame clinical issues like readmissions into precise machine learning objectives.
- Evaluate healthcare datasets to identify data leaks, errors, and inconsistencies quickly.
- Engineer features from EHR data for predicting costs, usage, and comorbidities.
- Assess models using suitable metrics, addressing class imbalance and interpretability.
- Deploy models securely in clinical environments with EHR integration and drift monitoring.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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