This ML model is used to predict if a member will respond to outreach campaign. It helps prioritise members who are more likely to respond to an outre ...
During sleep our brain goes through a series of changes between different sleep stages, which are characterized by specific brain and body activity pat ...
This ML model is used to predict the best channel for reaching out to members, to ensure increased member response rate. It helps identify key attribu ...
A Natural Language processing (NLP) model which uses clinical notes from Electronic Health Records(EHR) to predict misuse of opioids. This model compa ...
This ML model is used to predict the best time for member outreach to ensure increased member response rate. It identifies key attributes for predicti ...
Member target list for each measure based on the likelihood of gap closure upon engagement
Generalized anxiety disorder (GAD) is one of these disorders, characterized by the presence of excessive worries and alertness over different issues; ...
The predictive model is built using claims data to predict value of the HEDIS measure Osteoporosis Management in Women (OMW) for given cohort of femal ...