Feature Engineering Techniques | Part I | Leo Anello | Medium
Feature engineering techniques for healthcare data analysis, focusing on real-world challenges and practical solutions.
In this project, we dive into feature engineering for medical data, where precision is essential. This is a comprehensive project that will take you through each phase of data analysis. Enjoy the journey, and don’t miss the recommended resources along the way.
Hospital readmissions — when discharged patients return to the hospital shortly after leaving — are a costly issue that exposes gaps in healthcare systems. In the U.S. alone, rehospitalizations for diabetic patients cost over $300 million annually.
By identifying patients at high risk, healthcare teams can investigate further and, in many cases, prevent these readmissions. This proactive approach doesn’t just save money; it also improves care quality.
Diabetes is the seventh leading cause of death globally, affecting 23.6 million in the U.S. and millions more around the world. The American Diabetes Association reports that treating diabetic and prediabetic patients in the U.S. involves the world’s highest healthcare costs.
