Deep Learning and Segmentation: Identifying Patients On Their Treatment Journey

Join Bill Wyatt, VP of Data Science at Healthgrades (https://www.healthgrades.com/), on Thursday, April 20th as he gives us an overview of deep learning and segmentation models as it pertains to patient identification and patient journey segmentation.

During this discussion we will review Healthgrades methodology for future (potential) hospital patient identification using deep learning strategies. As an advancement of this fairly standard CRM type of process we will discuss advanced segmentation models that identify patients by clinical situation and at various parts of their journey with the goal of optimizing communication to unique clinical segment and journey stage.

Make sure to register for this free event on Eventbrite (https://www.eventbrite.com/e/deep-learning-and-segmentation-identifying-patients-on-their-treatment-journey-tickets-32863009145)

About Bill Wyatt

Dr. Wyatt has been working at Healthgrades for nearly 4 years. His current work as VP, Data Science allows him to direct a team of skilled data scientists, analysts, researchers, and database developers toward data driven solutions. With over 1 million visits a day and nearly 100 million medical encounters his team analyzes data from consumer behavior to healthcare utilization and treatment outcomes. Previously Bill served as faculty in the department of statistics at Indiana University Bloomington teaching courses in Multivariate Statistics, General Linear Models, and Exploratory Data Analysis. Prior to that he worked as a statistical consultant and primary statistician for commercial, academic, and government contracts.

Dr. Wyatt’s background comes out of Kinesiology and human learning. In that work he utilized functional analysis, time series models, and rigorous experimental approaches to map the process by which people learning, generalize, and transfer motor skills. Early in his career he realized that the question, while important was not nearly as interesting as the methodological approach to answering it with data.

About Healthgrades

At Healthgrades (https://www.healthgrades.com/), our mission is to help consumers find the right doctor and the right hospital, for the right care. More than one million people a day rely upon Healthgrades to research, compare and connect with physicians and other healthcare professionals. We provide consumers with the information they need to make more informed decisions, including information about the provider’s experience, patient satisfaction and hospital quality. Physicians and healthcare professionalsrely upon Healthgrades, as well, to accurately represent their practice online, make them more relevant and discoverable, and connect them with consumers. From our headquarters in Denver and offices in Atlanta, Madison and Raleigh, we are dedicated to delivering solutions that bring a new level of transparency to healthcare.

Make sure to register for this free event on Eventbrite (https://www.eventbrite.com/e/deep-learning-and-segmentation-identifying-patients-on-their-treatment-journey-tickets-32863009145)