Machine Learning

The National Center for Collaborative Healthcare Innovation (NCCHI) is working with the Advanced Analytics Team in the Lawrence Livermore National Lab (LLNL) at the Department of Energy (DOE) to cross boundaries in the name of improved medical care for Veterans.

When It Comes to Health Care, One Size Does Not Fit All

More About Machine Learning

Utilizing Machine Learning Techniques to Identify Optimal Care Strategies for Clinical Conditions

The partnership between NCCHI and LLN combines the nation’s largest and most robust longitudinal dataset with the world’s largest supercomputer at DOE to focus on three conditions of critical importance for the Veteran community: amyotrophic lateral sclerosis (ALS), prostate cancer, and suicide risk.

Utilizing Machine Learning Techniques to Identify Optimal Care Strategies for Clinical Conditions

This innovative partnership aims to help us better understand the Veteran patient populations impacted by these conditions, as well as the influence of various treatments or medications on the conditions. Ultimately, this boundary-breaking collaboration stands to not only improve the lives of Veterans but also inform national health care initiatives in these areas.