Leveraging Deep Learning and Clinical Text to Predict Asthma Exacerbation
Take30 with a Data Scientist – 4/5/22
This talk is intended to provide a view into the process of developing risk classifiers using NLP and deep learning on clinical notes derived from electronic medical records The ultimate goal of this research effort is to develop a predictive model that could inform a clinical decision support tool to alert clinicians and patients’ families of likely impending severe asthma exacerbation. Such a tool would allow early intervention to avert severe asthma exacerbation and improve patient outcomes. Recommendations and challenges will be discussed in regard to working with this type of data, and cloud based development using Azure Databricks and TensorFlow as a technology platform
Ironside is a data, analytics, and AI consulting and technology implementation company. We work with clients to understand their business objectives and day-to-day challenges, then employ our deep expertise in data strategy, architecture and engineering, integration, business intelligence, AI, and generative AI. We create technical solutions and practical approaches designed to drive smarter, data-driven decisions across a company and help it move further and faster toward its business goals.
