AWS Public Sector Blog
Author: Abigail Yacat
Abigail Yacat is a solutions architect at Amazon Web Services (AWS) worldwide public sector, handling the Philippine public sector. She has over 10 years of experience in information technology, having worked with customers from different industries such as a multinational energy corporation, a financial technology (FinTech) company, and a multinational insurance company. More than helping customers, she enjoys learning from them.
Predicting diabetic patient readmission using multi-model training on Amazon SageMaker Pipelines
Diabetes is a major chronic disease that often results in hospital readmissions due to multiple factors. An estimated $25 billion is spent on preventable hospital readmissions that result from medical errors and complications, poor discharge procedures, and lack of integrated follow-up care. If hospitals can predict diabetic patient readmission, medical practitioners can provide additional and personalized care to their patients to pre-empt this possible readmission, thus possibly saving cost, time, and human life. In this blog post, learn how to use machine learning (ML) from AWS to create a solution that can predict hospital readmission – in this case, of diabetic patients – based on multiple data inputs.