Incidence and Complications of Atrial Fibrillation in a Low Socioeconomic and High Disability United States (US) Population: A Combined Statistical and Machine Learning Approach

<div>Clinical utility for ML logistic regression-based prediction models ((a)—AF; (b)—stroke; (c)—CHF; (d)—MI; (e)—major bleeding; (f)—cognitive impairment).</div>

International Journal of Clinical Practice

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Figure 1: Incidence and Complications of Atrial Fibrillation in a Low Socioeconomic and High Disability United States (US) Population: A Combined Statistical and Machine Learning Approach 

Figure 1 | Incidence and Complications of Atrial Fibrillation in a Low Socioeconomic and High Disability United States (US) Population: A Combined Statistical and Machine Learning Approach 