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Machine Learning Week Sri Bandhakavi
Machine Learning Week 

Population-level risk stratification of hypertensive patients

Presenter: Sricharan Bandhakavi, Principal Data Scientist, Geneia

On-demand webinar
Date: May 24-28, 2021

Registration begins May 24

Hypertension affects one in three American adults and can contribute to devastating complications, including heart attack, stroke, and end-stage renal disease.

Using nationwide administrative claims data, Geneia data scientists developed a three-step approach to identify and risk-stratify hypertension member groups based on being ‘challenging to treat’ or ‘at risk for hypertension complications’. In this recorded presentation, Geneia Principal Data Scientist Sri Bandhakavi provides an in-depth review of this patent-pending predictive modeling approach and discusses how it supports risk stratification and management of hypertension members.


Sri Bandkavi
Machine Learning Week Event 1
Machine Learning Week 

Build more models faster:

An automated machine learning pipeline to predict the onset of major chronic diseases

Speaker: Zhipeng Liu, Principal Data Scientist, Geneia

Date: May 25, 2021
Time: 1:05pm ET 

Register here

Join Zhipeng for a live review of Geneia’s automated pipeline for building machine learning models from healthcare claims data with little or no manual intervention.

He’ll discuss:

  • The pipeline’s conception,
  • How it speeds model production by ~100 times while maintaining accuracy and interpretability, and
  • An application: a series of models to predict major chronic disease onset.


Zhipeng Liu
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