Equilibrium Point Published on AWS Machine Learning Blog

With increases in mental health related cases across the US, using Machine Learning to assess risk and improve outcomes is more critical than ever.




Back in December 2021, we posted a blog entitled: ‘Building a Mental Health ML Risk Model Using AWS Data Wrangler’ to answer our use case: can we use claims data to predict who will likely need mental health help before they need it, to target early intervention programs and resources?


In collaboration with AWS Sr. Product Manager and Solutions Architect experts, we have enhanced our blog, published on the AWS Machine Learning blog to demonstrate, step by step, how we used AWS Data Wrangler to streamline claims data preparation for our mental health use case, while ensuring data quality throughout the process.