- Aim 1: Develop a Machine Learning algorithms to predict effect (or association) of comorbidities (such as DM, hypertension, obesity) on Medication Adherence in patients who are diagnosed with heart failure at the time of hospital discharge based on EHR clinical data with geographical area in New York city.
- Aim 2: Assess the differences of the effects of comorbidities on Medication Adherence among the patient subgroups based on social and economic factors.
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