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Current AI workflows make it possible to conduct complex studies and uncover deeper insights than traditional analytical methods do. As the volume and availability of electronic health data increases, patient-centered outcomes research (PCOR) investigators need better tools to analyze data and interpret those outcomes. A foundation of high-quality training data is critical to developing robust machine-learning models. Training data sets are essential to train prediction models that use machine learning algorithms, to extract features most relevant to specified research goals, and to reveal meaningful associations. | ||
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Through this project, ONC in partnership with National Institutes of Health (NIH) National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), advanced the application of AI/ML in patient-centered outcomes research (PCOR) by generating high quality training datasets for a chronic kidney disease (CKD) use case – predicting mortality within the first 90 days of dialysis. | ||
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## Project Goal | ||
The goal of this project was to conduct foundational work to support future applications of AI/ML to improve PCOR, health and health care delivery. | ||
This project achieved its goal by: | ||
• Establishing a kidney disease-related use case that benefits from ML applications using data from the United States Renal Data System (USRDS) | ||
• Identifying and convening a multidisciplinary expert panel to provide input into the criteria for the development of high quality training datasets and provisionally testing these datasets using ML algorithms | ||
• Developing machine-learning models and using conventional metrics to evaluate their performance | ||
• Capturing lessons learned from the process of developing the training datasets and ML models | ||
• Disseminating project tools, activities, and points to consider/lessons learned to encourage future applications of these methods by PCOR researchers | ||
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This project began in 2019 and ended in September 2021 | ||
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See this [blog post](https://www.healthit.gov/buzz-blog/health-it/the-application-of-machine-learning-to-address-kidney-disease) for more background. | ||
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Please contact [email protected] with questions about this project and [email protected] with any issues or questions about the code. | ||
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